research papers
Development of instrumentation and methods for MAD and structural genomics at the SRS, ESRF, CHESS and Elettra facilities
aInstitute of Structural Chemistry, CNR, Rome and Sincrotrone Trieste, Italy, bDepartment of Chemistry and Chemical Biology, Cornell University, USA, cChemistry Department, University of Manchester, Manchester M13 9PL, UK, and dEMBL, Avenue des Martyrs, Grenoble, France
*Correspondence e-mail: john.helliwell@man.ac.uk
The evolution of the de novo protein is now achieved. The selenomethionine substitution method offers a definite way to incorporate atoms in a protein for MAD, although MAD is also a very versatile approach applicable to metalloproteins and to cases of many heavy atoms found useful in isomorphous derivative preparation (especially utilization of non-isomorphous derivatives). Detector developments, especially image-plate scanners and now CCDs, have revolutionized diffraction data quality and speed of data acquisition, with further developments, such as the pixel detector, in store. Cryocooling of the sample has greatly alleviated radiation damage problems. Computer hardware capabilities have also changed incredibly. Coordinated software developments for protein crystallography have been achieved [Collaborative Computational Project, Number 4 (1994). Acta Cryst. D50, 760–763]. Protein crystallography and synchrotron radiation is capable of yielding `genome level' numbers of protein structures. Results and capabilities are presented and summarized, especially from the synchrotron radiation sources and instruments with which the authors have principally been involved, namely SRS, Daresbury and ESRF, Grenoble as well as CHESS, Cornell and Elettra, Trieste. Rapid protein preparation and crystallization remain as major hurdles.
of synchrotron radiation sources has allowed combined functionalities of beamline optics for simultaneous high intensity, rapid tunability and narrow wavelength bandpass. This then combines the chance to measure protein crystal diffraction data at multiple wavelengths for optimized (MAD) differences for phasing as well as at high diffraction resolution from macromolecular structures and their complexes. RapidKeywords: protein crystallography; multiwavelength anomalous dispersion (MAD); genomics; proteomics.
1. Introduction
Optimized using synchrotron radiation were envisaged for protein and function determination (e.g. see Helliwell, 1979). This could also allow a complete molecular anatomy targeting rational drug design as an important biological application through the knowledge of protein receptor structure (e.g. see Helliwell, 1977a). This `complete molecular anatomy' is now encapsulated in the terms structural and functional genomics or proteomics. The pace of gene sequencing, from which protein amino acid sequences are derived, has been phenomenal. The pace of three-dimensional protein is also accelerating quickly, offering experimental capabilites in structure and function definition on a large numbers scale. Today the Protein Data Bank holds some 9500 protein structures of which some 7800 are derived from protein crystallography. The remainder are derived from NMR solution and electron diffraction as well as modelling. The number derived from using synchrotron radiation is growing rapidly (Helliwell, 1992; Chayen & Helliwell, 1998). In the future the prediction of protein fold from amino acid sequences may become possible, which will further accelerate the pace of experimental protein structure and function determination.
high-resolution and dynamical studiesThe development of synchrotron-radiation protein-crystallography beamline instrumentation initially, some 20 years ago, encompassed two separate approaches (high-intensity optics versus rapidly tunable optics; e.g. see Helliwell, 1979). A major challenge was how to harness the typical first- and second-generation synchrotron radiation source emittance (source size and divergence) available at that time so as to match the available protein crystal sample acceptance (crystal size and mosaicity). The emittances of synchrotron radiation sources have improved considerably over the years. On a third-generation high-brilliance synchrotron radiation source, rapid tunability, needed for measuring more than one wavelength around an elemental to vary the signal, can be provided whilst simultaneously having a high-intensity X-ray beam at the sample. The reflection intensities can thereby be measured precisely and accurately.
This article will concentrate on an overview of instrumentation, methods and results from Daresbury, SRS and ESRF, Grenoble as well as Elettra, Trieste and CHESS, Cornell in macromolecular crystallography.
Our article salutes the achievements of Sir John Walker from the MRC Laboratory of Molecular Biology in Cambridge, UK, and his Nobel-Prize-winning investigation on F1ATPase, whose protein et al., 1994) was derived from data measured on the SRS `PX' station 9.6 as well as SRS `PX' station 9.5, both equipped with MAR Research image-plate scanners. The high intensity of the SRS X-ray beam at the F1ATPase crystal sample, along with the beam collimation, were the synchrotron radiation beam properties exploited in that data collection, and phase determination was via the method (with a degree of optimized through use of short-wavelength synchrotron radiation).
determination (Abrahams2. Evolution of synchrotron radiation protein crystallography (PX) instruments
2.1. Daresbury; the first dedicated second-generation synchrotron radiation X-ray source
The Daresbury SRS was the first dedicated synchrotron radiation X-ray source and as such, being non-parasitic, is a second-generation synchrotron radiation source. It came on-line in 1981. The progenitor (predecessor) of the SRS was the NINA first-generation synchrotron radiation source. NINA was closed in 1976 to embark on the construction of the SRS itself. On NINA, an optimized b). Also in the NINA experimental hall was a focusing camera for fixed-wavelength operation for muscle diffraction; Haslegrove et al. (1977) showed that in parasitic high-energy-physics mode NINA source movements degraded the X-ray beam focus and intensity, and proposed a dedicated mode of operation for synchrotron radiation experiments.
experiment on a platinum tetracyanide derivative of a 6-phosphogluconate dehydrogenase enzyme crystal showed the need for focusing X-ray optics (Helliwell, 1977The first SRS protein crystallography instrument was station 7.2 on the very first X-ray beamline at SRS. The station optics (Helliwell et al., 1982) comprises a vertically focusing mirror in 1:1 focusing mode and an oblique-cut focusing monochromator: a single crystal of Ge(111) cut at 10° to the surface. This type of monochromator was introduced originally at LURE (Lemonnier et al., 1978). The SRS bending-magnet beamline 7 source sizes of 0.4 × 14 mm2 were thus focused to 0.4 × 1.4 mm2 at the sample position, quite a reasonable match to typical sample sizes (at that time) of 0.5 mm Station 7.2 has served a national and international user community, and is still in service today [with an upgraded image-plate detector rather than the Arndt–Wonacott (1977) oscillation camera used at its inception in 1981]. It allowed the definition of the instrument smearing contributions of, firstly, asymmetric beam cross fire and, secondly, spectral spreads of two types: conventional X-ray source type and a correlated-wavelength-with-horizontal-beam-direction type. The latter could be deliberately set up (a so-called non-Guinier focusing mode of the monochromator) to establish a dispersive setting. Thus a polychromatic profile could be established and centred on an X-ray to probe in a continuous way the variation of dispersion coefficients of an element in the diffraction spots. This indicated the scope of optimized for phasing in protein crystallography. Data for an LIII of a rhenium compound served as the test case (Arndt et al., 1982). In the collection of protein crystal diffraction data a non-dispersive (Guinier) focusing setting of the monochromator was utilized for which the spectral bandpass was as small as 5 × 10−4. These Guinier and non-Guinier instrument settings are linked to the prediction of the partiality of reflections in the oscillation camera method (Greenhough & Helliwell, 1982) and subsequent data processing [see, for example, Rossmann (1999) in this issue]. A description of the station and the projects streaming through in the first year of operation, as an example, can be found in Helliwell et al. (1982). A survey of all publications submitted by users of the SRS `PX' stations can be found on the SRS www database (Rizkallah, 1999). High-resolution and MIR-derivative data collection was the basis of user beam time proposals then. However, one of the first structural studies unique to synchrotron radiation was the use of station 7.2 to tune the X-ray wavelength to the Mn K-edge in pea lectin crystals (Einspahr et al., 1985). In that experiment the use of two wavelengths (1.488 and 1.86 Å), at 1.8 Å and 2.4 Å diffraction resolution, respectively, showed the variation in the Mn and, relative to the neighbouring Ca ion, identified which ion was which for these two elements of similar (Einspahr et al., 1985).
The SRS had a superconducting wiggler magnet inserted in 1983. This allowed the development of a second PX station but with an order of magnitude higher intensity at wavelengths around 0.9 Å, the critical wavelength of emission of the wiggler (compared with 4 Å for the equivalent parameter on the bending-magnet beamline 7). Station 9.6 came on-line in 1984. The beamline optics again were tailored to the rather large SRS wiggler source size in the horizontal of ∼14 mm but with a fine vertical source size of again ∼0.5 mm. Thus 1:1 focusing in the vertical direction via a focusing curved mirror and a 10:1 oblique-cut demagnifying Si(111) monochromator was used (Helliwell et al., 1986). For the first time, anxieties about the X-ray beam power onto the optics, from the wiggler, surfaced. This led to the need to set the mirror at a finer glancing angle than for the station 7.2 mirror to reduce as much as possible the heat absorbed by the mirror, the first optical element in the synchrotron radiation white beam. The direct wiggler white beam could burn a hole in a fluorescent screen. In fact, 0.25 kW power was contained in the 4 mrad fan available to the station. The fine mirror glancing strategy and the mirror bending control (which was now handling several kilometres radius of curvature setting) was successful. The focal spot was 0.5 × 1.4 mm2 at the sample, like on SRS 7.2, in spite of the higher heat load on the optics. The beam was now tunable for wavelengths from 0.5 Å upwards, to around 1.38 Å typically, but concentrating on wavelengths tuned to somewhere in the band 0.9–1.1 Å (Helliwell et al., 1984). The spectral bandpass at the Guinier setting of the monochromator was again >5 × 10−4. Thus, high-atomic-number absorption elements became practicable for optimized This was exploited especially with derivatives, prepared by users in their home laboratory. The large fan emitted from the wiggler created the floor space to place the sample camera collimator to receive the white-beam polychromatic spectrum. This allowed broad-bandpass synchrotron-radiation Laue protein crystal diffraction patterns to be recorded for the first time (Helliwell, 1984, 1985). The tunable monochromatic beam was also exploited whereby single with optimized (SIROAS) was found to be practicable with a large protein such as glutamate dehydrogenase (Baker et al., 1990). Use of a short-wavelength (0.9 Å) monochromatic beam proved popular in reducing the radiation damage of virus crystals. The choice of 0.90 Å was set to maximize the absorption of the photographic films used in the oscillation film camera used at that time for data collection. The of the foot-and-mouth-disease virus (FMDV) was based on data measured on station 9.6 (Acharya et al., 1989), as was that of the SV40 virus from Harvard (Liddington et al., 1991). The bulk of proposals on this station were then, firstly, for very large unit-cell data collection from virus crystals (and later from F1ATPase) or, secondly, for MIR/SIR-derivative data collection or, thirdly, for high-resolution data collection. The reduction of absorption errors in the data from the use of short wavelengths improved heavy-atom phasing and protein model Use of photographic film was tedious and repetitive, as well as noxious. New ground was broken by the introduction of the FAST area TV diffractometer purchased from Enraf–Nonius and which gave a glimpse of the world of on-line image-plate and CCD area detectors with improved detector and, by comparison, fantastically automatic data collection. Multiple data-set measurements of many kinds beckoned; multiple wavelengths, multiple time slices, multiple drug lead compound inhibitor data sets etc. Radiation damage was less with these more sensitive detectors. Smaller protein crystals would yield complete data sets [e.g. see the case of trypanothione reductase whereby Bailey et al. (1993) used the FAST diffractometer on station 9.6 in such an application].
Improved
(or brightness) of the SRS came in 1985, whereby the horizontal source size challenges referred to above were greatly alleviated. The need, with the SRS high-brightness lattice, for such a large demagnification of the horizontal source was removed. Obviously the existing stations 7.2 and 9.6 had improved (finer) horizontal foci by a factor of about five. But a new beamline optic became possible whereby the 1:1 focusing of a (toroid) mirror alone would be sufficient for many protein crystal samples and the monochromator need not then have a focusing role. Rapid wavelength tuning (XAFS style) became possible with reasonable intensity on the same station. Rapidly tunable MAD experiments were thus going to be feasible.A rapidly tunable wiggler station 9.5 design based on a toroid mirror optic and a double-crystal monochromator was made (Brammer et al., 1988). Moreover, the removal of the monochromator would make possible a point-focused white beam of X-rays for `pink'-beam Laue diffraction with a wavelength range of 0.5 Å upwards to ∼2 Å. The upper wavelength limit was set by the beryllium absorption in the vacuum line windows. The principal challenge of this optic design is the sensitivity to alignment of the `yaw' angle of the toroid mirror optic. A vertical focusing curvature of kilometres is readily `contaminated' by tens of metres in the horizontal if the mirror is misaligned by only tens of arcseconds. The X-ray wiggler power incident on the mirror was analysed by finite-element analysis and ray tracing (Brammer et al., 1988). In fact, the focusing performance and alignment proved straightforward (Thompson et al., 1992). A problem, however, proved to be SRS source movements, which are relatively of the same type as the mirror `yaw' error. Such movement problems were solved via careful SRS source monitoring and thereafter a feedback loop to control the source position. The intensity was a factor of 50 times that of a rotating-anode X-ray home source but a factor of ten below that of stations 7.2 and 9.6. The use of station 9.5 has allowed the development of rapidly tunable MAD experiments at SRS.
Peterson et al. (1996) compared phasing success for different combinations of wavelengths and compared different theoretical approaches. Data sets at four wavelengths were measured in 24 h, including the fluorescence scan of the bromine edge for the brominated nucleotide crystal involved. The data were measured at room temperature and so, to minimize the effect of time-dependent damage or source-movement-derived intensity fluctuatons, including beam decay, the data at each wavelength were measured close together in time for contiguous angular wedges of data. The crystal was perfectly aligned to measure Friedel differences across the crystal mounting axis, again minimizing the time difference between Friedel-equivalent reflections (Einspahr et al., 1985; Nieh & Helliwell, 1995). using two (the minimum required), three and four wavelengths were compared. A data set measured at the peak of the white line but with the crystal deliberately mis-set showed the bad effect of this on the phasing quality in the two-wavelength phasing combinations. 40 years of phasing strategies (Okaya & Pepinsky, 1956; Herzenberg & Lau, 1967; Hoppe & Jakubowski, 1975) were compared for synchrotron radiation MAD data for the first time. The use of three wavelengths around the selenium K edge of hydroxymethylbilane synthase allowed a de novo of the active form of this enzyme (Hädener et al., 1999). This study utilized CCP4 software treating one of the wavelengths as the native, i.e. the point of inflection of the rise of the being where the real coefficient of is at its minimum and the anomalously scattering atom is rendered a `light' atom as a result. Glover et al. (1995) also used station 9.5 for MAD with the uranyl derivative of OppA and the uranium LIII edge and data measured at four wavelengths. The kind of experiment envisaged then in the early experiments on NINA (Helliwell, 1977b) were brought finally to fruition at Daresbury.
Soon SRS will have two new stations on a new multipole wiggler beamline (Duke et al., 1998). These are of the slow tunable design, like SRS 7.2/9.6. The need for rapid tuning of the wavelength has perhaps eased in that cryocooling of the sample allows whole data sets to be collected with little or no radiation damage. Therefore, time-dependent variations in the measurements are now due to beam-intensity fluctuations alone. There is also a standardization towards the most popular element and being selenium (Hendrickson et al., 1990). It should be practical, with this more homogeneous set of conditions, to work with the `slow tunable' optic design of 7.2/9.6 for Se MAD data collection. The two styles of X-ray optics on the PX stations at SRS are shown in Fig. 1.
The blending of high intensity and rapid tunability on the one beamline became possible with the advent of ESRF, the historical development of which, for macromolecular crystallography, is described in the following section and whose development was closely dependent on the national facilities at e.g. SRS and LURE (Helliwell & Fourme, 1983; Helliwell, 1987).
2.2. ESRF; the first third-generation high-brilliance synchrotron radiation X-ray source
Within Europe, community discussions and targeted workshops sought to arrive at a proposal for a European Synchrotron Radiation Project (ESRP). These commenced in 1979 based on a 5 GeV machine with undulators, wigglers and bending magnets as sources. The ESRP was led by B. Buras and led to the European Science Foundation (ESF) Report in favour of an ESRF. The −1 mm−2 mrad−2 (δλ/λ)−1] offered from X-ray undulators was staggering. Also, the X-ray beam power from multipole wigglers was huge compared with anything seen previously, reaching up to 10 kW mrad−1, some two orders higher than on the SRS wiggler. There were also concerns about the tolerance of the samples to the very large X-ray beam intensities to become available. Helliwell & Fourme (1983) reported on the thermal and radiation damage blast on a protein crystal and recommended use of shorter wavelengths than standard at that time (e.g. 1 and 0.5 Å were considered in detail). Also, of the crystal mount suggested use of a copper stalk and low temperatures to remove the heat. There would be limits to the smallest size of sample that could be studied. These limits were explored down to 20 µm by Hedman et al. (1985). Restrictions would also apply to the larger unit cells. However, use of a large number of crystals to make a data set would always be a possible approach. The time-resolved experiments would be time-sliced, however, so that the total heat load on a regular-sized crystal would be kept tolerable. The ESRF machine energy was upgraded during these discussions to 6 GeV to facilitate Mössbauer scattering experiments based on undulator X-ray emission at 0.86 Å wavelength. The tuning range of undulators would also be improved by such an approach. In the first instance the recommendations for beamlines for macromolecular crystallography, after extensive consultation including via the European-wide CCP4 newsletter, were for undulator, multipole wiggler and bending-magnet stations for protein crystallography. These would initially concentrate on large unit cells, time-resolved studies and MAD, respectively. This would allow time for the research and development on high-heat-load monochromators and experience to be gained (including users being allowed to change the undulator gap for tuning applications). Hence, beamlines BL4 (IDO2) undulator, BL3 (IDO9) wiggler (actually a hybrid wiggler/undulator) and BL19 bending magnet (BM14) are running routinely today. The relative performances of the beam brilliances and intensities versus the SRS are that, roughly speaking, SRS 9.6 allows studies at medium to high resolution for unit cells up to 500 Å, e.g. FMDV (Acharya et al., 1989) and SV40 (Liddington et al., 1991), but ESRF BL4 allows unit cells to be studied to 1000 Å, e.g. blue tongue virus (Grimes et al., 1997), and larger. SRS 9.5 in focused white-beam mode allows exposure times into the millisecond range (unfocused the SRS wiggler affords protein crystal Laue exposures into the seconds range) whereas ESRF BL3 has 1000 times shorter exposure, a critical gain factor because that allows exposures to be made from a single circulating ESRF bunch of electrons, with intrinsic time resolution of the bunch width of 60 ps (Bourgeois et al., 1996). ESRF BM14 is an order of magnitude higher than the intensity of the monochromatic SRS 9.5 intensity, thus matching the SRS 9.6 intensity `slow tunable' station design. Fig. 2 shows the beamline BM14 optics scheme. This is based on the SRS 9.5 approach but with the addition of a collimating pre-mirror. A total of almost 30 MAD-solved protein structures have emanated from BM14 use in 1998 alone (Laboure et al., 1999). There is now a four-hutch undulator beamline `Quadrigia' (ID14) for macromolecular crystal data collection including a MAD endstation (Wakatsuki et al., 1998). Also, there are two CRG BM beamlines (FIP/D2AM) which include a MAD data-collection capability. A dedicated undulator line (ID29) for MAD is under construction (see §4; Chayen et al., 1996).
[photons s2.3. Cornell; CHESS and MacCHESS
The Cornell High Energy Synchrotron Source (CHESS) is a 5.3 GeV synchrotron radiation facility funded by the National Science Foundation. It was established as a first-generation source, due to its parasitic use of the Cornell Electron Storage Ring (CESR), and subsequently pioneered the use of multipole wiggler insertion devices for structural biology. As a result of its continuing use of CESR the beam lifetimes are short, with an average fill length of ∼75 min. CHESS maintains the high-intensity X-ray beams, including optical elements, to all ten of the experimental stations, while it is the National Institutes of Health funded MacCHESS research resource that supports the operation of three of these stations for macromolecular crystallography. Two of the stations (A1 and F1) operate as monochromatic X-ray sources, with a fixed wavelength of ∼0.92 Å, while the third station, F2, offers a doubly focused X-ray beam with a tunable wavelength in the 0.5–1.8 Å range. Each of these stations receives a 2 mrad fan of radiation from either the A-line or the F-line 24-pole 1.2 T permanent-magnet wigglers.
The first et al., 1992) with a customized experimental set-up, including a channel-cut monochromator for high-energy resolution. The data were collected on Fuji imaging plates at 277 K and, as a result, three crystals were required to complete a four-wavelength MAD experiment. The essential instrumentation for conducting a MAD experiment was subsequently installed on the F2 station and soon thereafter the first successes were reported. In particular, the structure of the restriction endonuclease BamHI (Newman et al., 1994) was determined from a three-wavelength MAD dataset collected from five crystals at 278 K. At this time the benefits of cryogenic data collection (Hope, 1988), in conjunction with a novel crystal mounting technique developed at CHESS (Teng, 1990), were becoming essential to the success of crystallographic projects that exploited the intense X-ray beams. These techniques were further improved and developed by CHESS users (Rodgers, 1994) and soon started to have an impact on The datasets used in the structure determinations of the lac repressor core tetramer (Friedman et al., 1995) and the single-stranded DNA binding protein gp32 from T4 bacteriophage (Shamoo et al., 1995) were both collected from single crystals flash frozen at 103 K. At this time user demand resulted in less than 50% of the available F2 time being scheduled for experiments. However, these early demonstrations of the F2 capability, coupled with the popularization of cryocrystallography techniques, encouraged a rapid increase in the number of requests for this facility. The development of at CHESS has also been intimately linked with the pioneering development of CCD detectors for macromolecular crystallography (in collaboration with Sol Gruner, formerly of Princeton University and now Director of CHESS). It is the rapid duty cycle of these detectors, realising efficient use of synchrotron beam time, that has allowed the increasing demand for to be met. The evolution of detectors that have been used for at CHESS is summarized in Table 1. In 1993 the first CCD detector, known as the `Princeton 1k CCD', was installed at CHESS (Tate et al., 1995). It was based on a 1k CCD chip and had an active area of just 51 mm × 51 mm. Nevertheless, the detector sensitivity and fast readout time, of 20 s, coupled with its small pixel size, allowed efficient data collection from macromolecules and it immediately proved to be a valuable tool for (Fig. 3). During its initial commissioning period it was used in the MAD of rusticyanin (Walter et al., 1996) and interferon-γ receptor complexed with interferon-γ, a 120 kDa protein complex determined from the of six selenomethionine residues (Thiel et al., 1995). As the detector began its first period of full user operation it was used in the of avian-sarcoma virus integrase (Bujacz et al., 1995). The detector also found application, on other beamlines, in a wide variety of high-resolution structure determinations (Walter et al., 1995) and ultrahigh-resolution data collection was initiated (Deacon et al., 1995, 1997). With the success of the 1k CCD firmly established, another device, this time based on a 2k CCD chip, was developed in collaboration with Princeton Scientific Instruments. This detector offered an increase of ∼2.6 times in active area and a reduction in readout time to ∼7 s. The first commissioning results using this detector highlighted its benefit in challenging crystallographic projects (Thiel et al., 1996). This was quickly followed by the purchase of an ADSC Quantum 1 detector. This non-commercial prototype detector from ADSC was based, in part, on the earlier detectors used at CHESS. It offered a similar active area to the 2k CCD, although it was based on a 1k CCD chip. This detector system also featured a user-friendly graphical control interface running on a UNIX workstation (Szebenyi et al., 1997). By this stage in 1996 the demand for time was far in excess of the scheduled time (amounting to an approximately 50% share of the total F2 time). In the same year the X-ray optics on the F2 station were upgraded with an internally cooled monochromator (Smolenski et al., 1997). The increased thermal stability offered by this design, in the face of ever-increasing CESR beam currents, realised an order of magnitude increase in intensity for F2 experiments and thereby decreased exposure times by a similar factor. The rapid duty cycle of the fast-readout CCD detectors was now being fully exploited. By 1997 was accounting for about 80% of the available time on F2. At this point the station became fully configured for with a complete redesign of the oscillation camera (Thiel et al., 1998) and the installation of a mosaic 2 × 2 ADSC Quantum 4 CCD detector. Since that time there has been a remarkable increase at CHESS in both the efficiency of typical MAD data collection and in the size of structure that can be studied.
experiment at CHESS was conducted on station F1 (Leahy
‡CCD frequently operated in binned 1024 × 1024 mode with 2 s readout. |
2.4. Elettra, Trieste; third-generation 2 GeV synchrotron radiation high-brilliance X-ray source
The Elettra project started in 1987, with the aim to create in Trieste a third-generation machine for the Italian synchrotron radiation community. The machine was intended mainly as a soft X-ray facility (and therefore complementary to ESRF), with a ring energy in the 1.5–2.0 GeV range and a very low emittance, in order to deliver an X-ray beam of very high brillance. The machine has been operational since 1993, reaching the specification of the original project. Today the machine is working mostly at 2.0 GeV in multibunch mode (with a circulating current of 300 mA after injection). In 1998 the machine was tested at 2.4 GeV and 150 mA, and several shifts in this mode are planned in the future. Even if the Elettra machine was intended mostly for the soft X-ray region, an X-ray crystallography multipole wiggler beamline was also approved and funded, as a joint agreement, from Sincrotrone Trieste and the Italian National Council of Research (CNR). The `XRD' beamline is fed from a three-section multipole wiggler (Table 2), the monochromator is an Si(111) or Si(220) double crystal (wavelength range from 3.0 to 0.5 Å), and the beam is focused from a toroidal mirror (Bernstorff, Busetto, Gramaccioni et al., 1995; Bernstorff, Busetto, Savoia et al., 1995). The beamline has been improved over the years in order to fully exploit the power of the 57 multipole wiggler. Recently a new and better cooled first crystal increased the stability of the X-ray beam and its intensity. The first detector was a MarResearch 180 mm device, which was replaced by a MarResearch 345 mm device in 1997, allowing a much more flexible data acquisition. A CCD detector, to be mounted on a four-circle diffractometer, is also planned. The beamline construction started at the beginning of 1994, and the first diffraction image was obtained in the summer of the same year. The beamline was fully operational from 1995 and has proved very popular across Europe for PX data and includes MAD applications. Todd et al. (1999) report a Br–oligonucleotide MAD study. Hunter et al. (1999) report an Mn K-edge MAD study of native concanavalin A, one of the longest-wavelength MAD studies conducted to date (Fig. 4). Indeed, since a large fraction of proteins are intrinsically metalloproteins (see Hasnain & Hodgson, 1999), the flexibility of a beamline to reach a wide range of X-ray wavelengths is important. There is also new MAD inorganic chemical crystallography whereby for CoZnAPO a five-wavelength study has been undertaken at the two K edges (for cobalt and zinc) and midway between (Helliwell et al., 1999). Due to the large demand of beam time for the XRD station, Sincrotrone Trieste has proposed a second XRD beamline, also from a mulitpole wiggler.
|
This detailed survey of the stations at SRS, ESRF, CHESS and Elettra indicates the growing surge of PX station developments in these facilities. There are also major station/instrument installations at another ten or so facilities worldwide [for a survey of facilities for synchrotron radiation PX, see Helliwell (1998)]. This is a major technical capability that has sprung up in little over 20 years. Synchrotron radiation machine has also improved dramatically in the same period.
3. Locating multiple Se atom substructures
As the popularity of the MAD method continues to grow (Ogata, 1998), there is a commensurate increase in the size of structures that are being tackled. In order to maintain an adequate signal for larger macromolecules it is necessary to either increase the number of anomalous scatterers or incorporate heavier atoms. The exploitation of selenomethionyl proteins (Hendrickson, 1991; Doublié, 1997) provides an intrinsically scalable approach to the MAD method, due to the natural abundance of methionine, amounting to approximately one in every 59 amino acid residues. However, for large proteins, locating the atoms can then become a major hurdle in the phasing process. In the past, hand interpretation of Patterson maps has been the standard technique for locating a few anomalous scatterers. However, the use of Patterson techniques becomes more challenging with a larger number of sites. The application of automated and correlated Patterson searches, as implemented in the programs CNS (Brunger et al., 1998) and SOLVE (Terwilliger et al., 1987; Terwilliger & Berendzen, 1999), has been very successful in extending the range of Patterson techniques to larger structures. These programs have been used to resolve as many as 40 and 30 independent selenium sites, respectively (Table 3). Nevertheless, even these methods can be expected to break down as the number of sites continues to increase. In the case of a 70 Se-atom the Patterson maps are crowded and the Harker sections become littered with cross-vectors, as well as self-vectors (Fig. 5). An alternative approach, which has been recognized for some time, is in the use of The isomorphous differences (Wilson, 1978; Adams et al., 1977), anomalous differences (Mukherjee et al., 1989) and dispersive differences (Evans & Wilson, 1999) have all been used. However, in these studies only a few anomalous scatterers were sought. For larger selenomethionine substructures any two Se atoms cannot be closer than ∼4.0 Å, as dictated by the van der Waals radius for selenium. In practice, the average separation of two distinct methionine S atoms is ∼7.5 Å and most structures have a closest S—S distance of the order of 6 Å. Therefore, the task still seems amenable to a direct-methods approach at 3.0 Å resolution. Moreover, the recent development of two robust dual-space direct-methods programs (Weeks et al., 1996) now offers a choice of fast and automatic tools to locate the positions of extremely large substructures. The first program, SnB (Weeks & Miller, 1999), is based on the of a minimal function (Hauptman, 1991). It has been used to solve entire structures as large as 1200 independent non-H atoms (Deacon et al., 1998). It has also been extremely successful with several of the largest substructures in the 30–70 Se atom range (Table 3). The use of anomalous differences coupled with careful outlier rejection has so far been the key to success (Smith et al., 1998; Blessing & Smith, 1999). The second program, SHELXD (Sheldrick, 1998), is in the latter stages of testing before general release, and has already been used to solve structures of more than 2000 atoms (Frazão et al., 1999) and some large substructures (Table 3). In the light of these recent achievements it appears that the of large macromolecules and even macromolecular assemblies by a joint and protocol is now tenable.
‡Single phases and Fourier techniques were used to locate the selenium |
4. MAD and technology/technique advances at ESRF
The use of MAD as a technique to solve the et al., 1990) is becoming widely applicable. For example, in 1995, when the ESRF BM14 line opened, experimental proposals requesting MAD made up 30% of the requests for total beam time, whereas in September 1998 they made up 140%. Of the absorption edges used in 1998 on BM14 at ESRF, 18 were Se-met, three Fe, five Hg, one Yb, one Br, one W, two Pt and one Au. This increased use is based on several factors, all of which have contributed as follows:
has hugely increased in recent years. The selenomethionine method (Hendrickson(a) The growing awareness in the structural biology community of the quality of MAD electron density maps with no errors due to lack of isomorphism.
(b) The increasing availability of synchrotron beamlines capable of making the measurements.
(c) The decreasing amount of beam time required to make the measurements. With the advent of more powerful sources and faster detectors, a typical experiment nowadays lasts less than 24 h and in some cases much less. [As described in §2.1, this is a critical improvement of ESRF BM14 over SRS station 9.5 beam-time needs for a MAD protein structure determination.]
(d) The increased simplicity of detector data processing, aided by the realization that MAD data could be successfully phased using a `quasi MIR' approach culminating in the recent developments of structure solution program packages [see article by Fourme et al. (1999) in this issue].
(e) The possibility to cryoprotect samples and record data from a single crystal instead of having to scale many together.
Of course, the very technological advances that have helped the method will pose further challenges for the future. For example:
What is the best data-collection strategy for cryoprotected samples in a very intense third-generation synchrotron beam, where the sample radiation damage limit is reached in a few minutes of total exposure?
What are the possibilities that will be offered by the increased size of the anomalous signal available when `white lines' are probed at higher energy resolution using a high-brilliance ESRF undulator MAD beamline? This improvement could be as much as 30% for a single Se, allowing `weaker' )?
signals to be measured. But will our beamlines be stable enough to take full advantage of this? What more information can we gain from the varying chemical environments that the heavy atoms experience, and how will this vary from crystal batch to crystal batch (Smith & Thompson, 1998What new possibilities will be realised by improved detectors such as pixel detectors? Their fast readout will allow yet more efficient data collection on intense and tunable MAD beamlines.
What is the real limit of the size of small anomalous signals that can be useful in structure solution if signals as weak as 1.4% have already resulted in meaningful electron density maps?
What is the limit in terms of the size of structures that can be tackled by MAD, now that the `many Se' problem is showing signs of cracking (as described in detail in §3)?
Structures have been solved on an ESRF dipole beamline in as little as 7.5 h (from mounting a crystal to interpretable electron density map). Automatic electron-density fitting programs are being developed to complement automatic phasing programs. How soon will
become a totally automatic procedure? This has hugely important implications for synchrotron radiation facility development and policy.5. Towards structural genomics
A number of whole organism gene sequences (genomes) are known today, and from which protein amino acid sequences are derived (the proteome equivalents). An idea of the general composition of a proteome is seen in Fig. 6, which shows the histogram of protein molecular weights derived from the yeast genome. This peaks at a protein molecular weight of 30 kDa. As an example of the distribution of Se atoms in a protein structure for this `peak weight', see Fig. 7. Obviously, oligomeric proteins occur and they represent larger multimacromolecular complexes that will need to be solved crystallographically. The total number of proteins in a proteome varies between 10000 for the yeast to 100000 for the human proteome. Bioinformatic analysis seeks to use the amino acid sequences and compare against the known three-dimensional protein structures (with their amino acid sequences) and by homology seek to predict which proteins might represent `new fold targets'. There are likely to develop then subsets of genomes of main interest for three-dimensional analysis. The lessons from gene sequencing projects are, however, to seek to sequence all of a genome, which has yielded surprises (unknown proteins, i.e. with respect to function). A technical restriction will arise in that 40% of all the proteins in a genome are membrane-bound and much more difficult to crystallize than non-membrane-bound globular proteins. Even for the latter group of soluble proteins, protein crystal growth and protein preparation are now the main rate-limiting steps for proteome level numbers of protein determinations (Chayen & Helliwell, 1998). There is at least a factor of ten (even 100) mismatch between the MAD beam time needed (hours) versus the protein crystal growth time (days/weeks). A `synchrotron radiation proteomics factory' would need many crystal sample preparation `production lines' for it to be kept busy. The exploration of the functionality of proteins, as well as structures, is discussed in this issue by Ren et al. (1999) (see also Helliwell & Rentzepis, 1997).
This article has surveyed the development at four synchrotron radiation facilities. Worldwide, other developments have been ongoing obviously [e.g. Hendrickson, 1985, 1991, 1999 (this issue); Guss et al., 1988; Kahn et al., 1985; Fourme et al., 1999 (this issue)].
Coordination between synchrotron radiation facilities to avoid duplication of protein structure determinations can readily be performed via the internet. This would require considerable openness and cooperation. A network of global synchrotron radiation PX stations, a global synchrotron radiation PX village, is feasible. The potential for rational drug design (e.g. see Ealick et al., 1990; Bugg et al., 1993) and the understanding of the molecular basis of disease is immense, rendering this a very important goal.
Acknowledgements
The facilities and machine staff at Daresbury, Cornell, ESRF and Trieste are thanked for fruitful collaborations over many years. AC thanks Drs A. Lausi and F. Zanini of Sincrotrone Trieste for their help. SEE and AMD would like to thank D. J. Thiel for discussions and providing Fig. 3 and J. L. Smith for information in Table 3. Research at CHESS is supported by grant DMR-9311772 from the National Science Foundation and the MacCHESS research resource is funded by grant RR-01646 from the National Institutes of Health. SEE and AMD would also like to acknowledge support of grant GM-46733 from the National Institutes of Health. JRH thanks the SERC, MRC and Swedish NFR for funding the SRS PX stations 7.2, 9.6 and 9.5 developments between 1979 and 1993 at Daresbury. JRH also wishes to thank BBSRC and EPSRC for research grant funding for utilization of SRS and ESRF for the MAD research projects at the University of Manchester; within these programmes fruitful collaborations with Dr A. Hädener, Dr W. N. Hunter and Dr G. A. Leonard are also gratefully acknowledged involving Se-methionine hydroxymethylbilane synthase and a brominated oligonucleotide. JRH warmly thanks Dr N. E. Chayen, Imperial College, London, for discussions on protein crystallization.
References
Abrahams, J. P., Leslie, A. G. W., Lutter, R. & Walker, J. E. (1994). Nature (London), 370, 621–628. CrossRef CAS PubMed Web of Science Google Scholar
Acharya, R., Fry, E., Stuart, D., Fox, G., Rowlands, D. & Brown, F. (1989). Nature (London), 337, 709–716. CrossRef CAS PubMed Web of Science Google Scholar
Adams, M. J., Helliwell, J. R. & Bugg, C. E. (1977). J. Mol. Biol. 112, 183–197. CrossRef CAS PubMed Web of Science Google Scholar
Ævarsson, A., Seger, K., Turley, S., Sokatch, J. R. & Hol, W. G. J. (1999). Nat. Struct. Biol. In the press. Google Scholar
Arndt, U. W., Greenhough, T. J., Helliwell, J. R., Howard, J. A. K., Rule, S. A. & Thompson, A. W. (1982). Nature (London), 298, 835–838. CrossRef CAS Web of Science Google Scholar
Arndt, U. W. & Wonacott, A. J. (1977). The Rotation Method in Crystallography. Amsterdam: North Holland. Google Scholar
Bailey, S., Smith, K., Fairlamb, A. H. & Hunter, W. N. (1993). Eur. J. Biochem. 213, 67–75. CrossRef CAS PubMed Web of Science Google Scholar
Baker, P. J., Farrants, G. W., Stillman, T. J., Britton, K. L., Helliwell, J. R. & Rice, D. W. (1990). Acta Cryst. A46, 721–725. CrossRef CAS Web of Science IUCr Journals Google Scholar
Bernstorff, S., Busetto, E., Gramaccioni, C., Lausi, A., Olivi, L., Zanini, F., Savoia, A., Colapietro, M., Portalone, G., Camalli, M., Pifferi, A., Spagna, R., Barba, L. & Cassetta, A. (1995). Rev. Sci. Instrum. 66(2), 1661–1664. CrossRef Web of Science Google Scholar
Bernstorff, S., Busetto, E., Savoia, A. & Colapietro, M. (1995). Rev. Sci. Instrum. 66(2), 2065–2068. CrossRef Web of Science Google Scholar
Blessing, R. H. & Smith, G. D. (1999). J. Appl. Cryst. In the press. CrossRef IUCr Journals Google Scholar
Bourgeois, D., Ursby, T., Wulff, M., Pradervand, C., Legrand, A., Schildkamp, W., Laboure, S., Srajer, V., Teng, T. Y., Roth, M. & Moffat, K. (1996). J. Synchrotron Rad. 3, 65–74. CrossRef CAS Web of Science IUCr Journals Google Scholar
Brammer, R. C., Helliwell, J. R., Lamb, W., Liljas, A., Moore, P. R., Thompson, A. W. & Rathbone, K. (1988). Nucl. Instrum. Methods, A271, 678–687. CrossRef CAS Web of Science Google Scholar
Brunger, A. T., Adams, P. D., Clore, G. M., DeLano, W. L., Gros, P., Grosse-Kunstleve, R. W., Jiang, J.-S., Kuszewski, J., Nilges, M., Pannu, N. S., Read, R. J., Rice, L. M., Simonson, T. & Warren, G. L. (1998). Acta Cryst. D54, 905–921. Web of Science CrossRef CAS IUCr Journals Google Scholar
Bugg, C. E., Carson, W. M. & Montgomery, J. A. (1993). Sci. Am. 12, 60–66. Google Scholar
Bujacz, G., Jaskoski, M., Alexandratos, J., Wlodawer, A., Merkel, G., Katz, R. A. & Skalka, A. M. (1995). J. Mol. Biol. 253, 333–346. CrossRef CAS PubMed Web of Science Google Scholar
Chayen, N. & Helliwell, J. R. (1998). Phys. World, 5, 43–48. Google Scholar
Chayen, N. E., Boggon, T. J., Cassetta, A., Deacon, A., Gleichmann, T., Habash, J., Harrop, S. J., Helliwell, J. R., Nieh, Y. P., Peterson, M. R., Raftery, J., Snell, E. H., Hädener, A., Niemann, A. C., Siddons, D. P., Stojanoff, V., Thompson, A. W., Ursby, T. & Wulff, M. (1996). Q. Rev. Biophys. 29(3), 227–278. CrossRef Google Scholar
Collaborative Computational Project, Number 4 (1994). Acta Cryst. D50, 760–763. CrossRef IUCr Journals Google Scholar
Das, S., Yu, L. H., Gaitatzes, C., Rogers, R., Freeman, J., Bienkowska, J., Adams, R. M., Smith, T. F. & Lindellen, J. (1997). Nature (London), 385, 29–30. CrossRef CAS PubMed Web of Science Google Scholar
Deacon, A., Gleichmann, T., Kalb, A. J., Price, H., Raftery, J., Bradbrook, G., Yariv, J. & Helliwell, J. R. (1997). J. Chem. Soc. Faraday Trans. 93(24), 4305–4312. Web of Science CrossRef Google Scholar
Deacon, A., Habash, J., Harrop, S. J., Helliwell, J. R., Hunter, W. N., Leonard, G. A., Peterson, M., Hädener, A., Kalb, A. J., Allinson, N. M., Castelli, C., Moon, K., McSweeney, S., Gonzalez, A., Thompson, A. W., Ealick, S., Szebenyi, D. M. & Walter, R. (1995). Rev. Sci. Instrum. 66(2), 1287–1292. CrossRef Web of Science Google Scholar
Deacon, A. M., Ni, Y., Coleman, W. G. Jr & Ealick, S. E. (1999). Private communication. Google Scholar
Deacon, A. M., Weeks, C. M., Miller, R. & Ealick, S. E. (1998). Proc. Natl Acad. Sci. USA, 95, 9284–9289. Web of Science CrossRef CAS PubMed Google Scholar
Doublié, S. (1997). Methods Enzymol. 276, 523–530. CrossRef CAS PubMed Web of Science Google Scholar
Duke, E. M. H., Kehoe, R. C., Rizkallah, P. J., Clarke, J. A. & Nave, C. (1998). J. Synchrotron Rad. 5, 497–499. Web of Science CrossRef CAS IUCr Journals Google Scholar
Ealick, S. E., Rule, S. A., Carter, D. C., Greenhough, T. J., Babu, Y. S., Cook, W. J., Habash, J., Helliwell, J. R., Stoeckler, J. D., Parks, R. E. Jr, Chen, S. & Bugg, C. E. (1990). J. Biol. Chem. 265, 1812–1820. CAS PubMed Web of Science Google Scholar
Einspahr, H., Suguna, K., Suddath, F. L., Ellis, G., Helliwell, J. R. & Papiz, M. Z. (1985). Acta Cryst. B41, 336–341. CrossRef CAS Web of Science IUCr Journals Google Scholar
Ekstrom, J. L., Mathews, I. I., Stanley, B. A., Pegg, A. E. & Ealick, S. E. (1999). Structure, 7, 583–595. Web of Science CrossRef PubMed CAS Google Scholar
Evans, G. & Wilson, K. S. (1999). Acta Cryst. D55, 67–76. Web of Science CrossRef CAS IUCr Journals Google Scholar
Fourme, R., Shepard, W., Schiltz, M., Prangé, T., Ramin, M., Kahn, R., de la Fortelle, E. & Bricogne, G. (1999). J. Synchrotron Rad. 6, 834–844. Web of Science CrossRef CAS IUCr Journals Google Scholar
Frazão, C., Sieker, L., Sheldrick, G. M., Lamzin, V., LeGall, J. & Corrondo, M. A. (1999). J. Bioinorg. Chem. In the press. Google Scholar
Friedman, A. M., Fischmann, T. O. & Steitz, T. A. (1995). Science, 268, 1721–1727. CrossRef CAS PubMed Web of Science Google Scholar
Glover, I. D., Denny, R. C., Nguti, N. D., McSweeney, S. M., Kinder, S. H., Thompson, A. W., Dodson, E. J., Wilkinson, A. J. & Tame, J. R. H. (1995). Acta Cryst. D51, 39–47. CrossRef CAS Web of Science IUCr Journals Google Scholar
Greenhough, T. J. & Helliwell, J. R. (1982). J. Appl. Cryst. 15, 493–508. CrossRef CAS Web of Science IUCr Journals Google Scholar
Grimes, J. M., Jakana, J., Ghosh, M., Basak, A. K., Roy, P., Chiu, W., Stuart, D. I. & Prasad, B. V. V. (1997). Structure, 5, 885–893. CrossRef CAS PubMed Web of Science Google Scholar
Guss, J. M., Merrit, E. A., Phizackerley, R. P., Hedman, B., Murata, M., Hodgson, K. O. & Freeman, H. C. (1988). Science, 241, 806–811. CrossRef CAS PubMed Web of Science Google Scholar
Hädener, A., Matzinger, P. K., Battersby, A. R., McSweeney, S., Thompson, A. W., Hammersley, A. P., Harrop, S. J., Cassetta, A., Deacon, A., Hunter, W. N., Nieh, Y. P., Raftery, J., Hunter, N. & Helliwell, J. R. (1999). Acta Cryst. D55, 631–643. Web of Science CrossRef IUCr Journals Google Scholar
Haslegrove, J. C., Faruqi, A. R., Huxley, H. E. & Arndt, U. W. (1977). J. Phys. E, 10, 1035–1044. Google Scholar
Hasnain, S. S. & Hodgson, K. O. (1999). J. Synchrotron Rad. 6, 852–864. Web of Science CrossRef CAS IUCr Journals Google Scholar
Hauptman, H. A. (1995). Crystallographic Computing 5: From Chemistry to Biology, edited by D. Moras, A. D. Podjarny & J. C. Thierry, pp. 324–332. IUCr/Oxford University Press. Google Scholar
Hedman, B., Hodgson, K. O., Helliwell, J. R., Liddington, R. & Papiz, M. Z. (1985). Proc. Natl Acad. Sci. USA, 82, 7604–7607. CrossRef CAS PubMed Web of Science Google Scholar
Helliwell, J. R. (1977a). New Sci. 76, 646–648. CAS Google Scholar
Helliwell, J. R. (1977b). DPhil thesis, Oxford University, UK. Google Scholar
Helliwell, J. R. (1979). Proceedings of Daresbury Study Weekend, DL/Sci/R13, pp. 1–6, 26–28 January 1979. Warrington: Daresbury Laboratory. Google Scholar
Helliwell, J. R. (1984). Rep. Prog. Phys. 47, 1403–1497. CrossRef CAS Web of Science Google Scholar
Helliwell, J. R. (1985). J. Mol. Struct. 130, 63–91. CrossRef CAS Web of Science Google Scholar
Helliwell, J. R. (1987). ESRF Foundation Phase Report. ESRF, Grenoble, France. Google Scholar
Helliwell, J. R. (1992). Macromolecular Crystallography with Synchrotron Radiation. Cambridge University Press. Google Scholar
Helliwell, J. R. (1998). Nat. Struct. Biol. (Synchrotron Suppl.), pp. 614−617. Google Scholar
Helliwell, J. R., Cruickshank, D. W. J., Ellis, G., Habash, J., Papiz, M. Z. & Rule, S. A. (1984). Proceedings of Daresbury Study Weekend, DL/Sci/R22, pp. 41–59. Warrington: Daresbury Laboratory. Google Scholar
Helliwell, J. R. & Fourme, R. (1983). Report to ESRP, Geneva. Google Scholar
Helliwell, J. R., Greenhough, T. J., Carr, P., Rule, S. A., Moore, P. R., Thompson, A. W. & Worgan, J. S. (1982). J. Phys. E, 15, 1363–1372. CrossRef CAS Web of Science Google Scholar
Helliwell, J. R., Papiz, M. Z., Glover, I. D., Habash, J., Thompson, A. W., Moore, P. R., Harris, N., Croft, D. & Pantos, E. (1986). Nucl. Instrum. Methods, A246, 617–623. CrossRef CAS Web of Science Google Scholar
Helliwell, J. R. & Rentzepis, P. M. (1997). Editors. Time-Resolved Diffraction. Oxford University Press. Google Scholar
Helliwell, M., Helliwell, J. R., Kaucic, V., Zabukovec Logar, N., Barba, L., Busetto, E. & Lausi, A. (1999). Acta Cryst. B55, 327–332. Web of Science CrossRef CAS IUCr Journals Google Scholar
Hendrickson, W. A. (1985). Trans. Am. Cryst. Assoc. 21, 11–21. CAS Google Scholar
Hendrickson, W. A. (1991). Science, 254, 51–58. CrossRef PubMed CAS Web of Science Google Scholar
Hendrickson, W. A. (1999). J. Synchrotron Rad. 6, 845–851. Web of Science CrossRef CAS IUCr Journals Google Scholar
Hendrickson, W. A., Horton, J. R. & Lemaster, D. M. (1990). EMBO J. 9(5), 1665–1672. Google Scholar
Herzenberg, A. & Lau, H. S. M. (1967). Acta Cryst. 22, 24–28. CrossRef CAS IUCr Journals Web of Science Google Scholar
Hope, H. (1988). Acta Cryst. B44, 22–26. CrossRef CAS Web of Science IUCr Journals Google Scholar
Hoppe, W. & Jakubowski, U. (1975). Anomalous Scattering, edited by S. Ramaseshan & S. C. Abrahams, pp. 437–461. Copenhagen: Munksgaard. Google Scholar
Hunter, N. S., Gleichmann, T. J., Helliwell, M., Barba, L., Busetto, E., Lausi, A., Price, H. J. & Helliwell, J. R. (1999). Croat. Chem. Acta. In the press. Google Scholar
Kahn, J. M. & Smith, J. L. (1999). Private communication. Google Scholar
Kahn, R., Fourme, R., Bosshard, R., Chiadmi, M., Risler, J. L., Dideberg, O. & Wery, J. P. (1985). FEBS Lett. 179(1), 133–137. CrossRef Web of Science Google Scholar
Kalb, A. J., Habash, J., Hunter, N. S., Price, H. J., Raftery, J. & Helliwell, J. R. (1999). Metals Biol. 37. In the press. Google Scholar
Kauppi, B., Lee, K., Carredano, E., Parales, R. E., Gibson, D. T., Eklund, H. & Ramaswamy, S. (1998). Structure, 6, 571–586. Web of Science CrossRef CAS PubMed Google Scholar
Laboure, S., Leonard, G., Stojanoff, V., Svensson, O. & Thompson, A. W. (1999). ESRF Annual Reports and Highlights. ESRF, Grenoble, France. Google Scholar
Leahy, D. J., Hendrickson, W. A., Aukhil, I. & Erickson, H. P. (1992). Science, 258, 987–991. CrossRef PubMed CAS Web of Science Google Scholar
Lebioda, L., Radfar, R., Shin, R., Sheldrick, G. M., Odom, J. D. & Dunlap, R. B. (1999). Personal communication. Google Scholar
Lemonnier, M., Fourme, R., Rousseaux, F. & Kahn, R. (1978). Nucl. Instrum. Methods, 152, 173–177. CrossRef CAS Web of Science Google Scholar
Li, C., Kappock, T. J., Stubbe, J. & Ealick, S. E. (1999). Structure. In the press. Google Scholar
Liddington, R. C., Yan, Y., Moulai, J., Sahli, R., Benjamin, T. L. & Harrison, S. C. (1991). Nature (London), 354, 278–284. CrossRef PubMed CAS Web of Science Google Scholar
Mukherjee, A., Helliwell, J. R. & Main, P. (1989). Acta Cryst. A45, 715–718. CrossRef CAS Web of Science IUCr Journals Google Scholar
Newman, M., Strzelecka, T., Domer, L. F., Schildkraut, I. & Aggarwal, A. K. (1994). Nature (London), 368, 660–664. CrossRef CAS PubMed Web of Science Google Scholar
Nieh, Y. P. & Helliwell, J. R. (1995). J. Synchrotron Rad. 2, 79–82. CrossRef CAS Web of Science IUCr Journals Google Scholar
Ogata, C. M. (1998). Nat. Struct. Biol. (Synchrotron Suppl.), 5, 638–640. Web of Science CrossRef CAS Google Scholar
Okaya, Y. & Pepinsky, R. (1956). Phys. Rev. 103, 1645. CrossRef Web of Science Google Scholar
Peterson, M. R., Harrop, S. J., McSweeney, S. M., Leonard, G. A., Thompson, A. W., Hunter, W. N. & Helliwell, J. R. (1996). J. Synchrotron Rad. 3, 24–34. CrossRef CAS Web of Science IUCr Journals Google Scholar
Ren, Z., Bourgeois, D., Helliwell, J. R., Srajer, V., Stoddard, B. L. & Moffat, K. (1999). J. Synchrotron Rad. 6, 891–917. Web of Science CrossRef CAS IUCr Journals Google Scholar
Rizkallah, P. J. (1999). Protein Crystallography Publications, http://www.dl.ac.uk/SRS/PX/publications.html. Google Scholar
Rodgers, D. W. (1994). Structure, 2, 1135–1140. CrossRef CAS PubMed Web of Science Google Scholar
Rossmann, M. G. (1999). J. Synchrotron Rad. 6, 816–821. Web of Science CrossRef IUCr Journals Google Scholar
Shamoo, Y., Friedman, A. M., Parsons, M. R., Konigsberg, W. H. & Steitz, T. A. (1995). Nature (London), 376, 362–366. CrossRef CAS PubMed Web of Science Google Scholar
Sheldrick, G. M. (1998). Direct Methods for Solving Structures, edited by S. Fortier, pp. 401–411. Dordecht: Kluwer. Google Scholar
Sinha, S., Krahn, J. M., Shin, B. S., Tomchick, D. R., Zalkin, H. & Smith, J. L. (1998). ACA Meeting, Arlington, 18–23 July 1998. W0012. Google Scholar
Smith, G. D., Nagar, B., Rini, J. M., Hauptman, H. A. & Blessing, R. H. (1998). Acta Cryst. D54, 799–804. Web of Science CrossRef CAS IUCr Journals Google Scholar
Smith, J. L. & Thompson, A. W. (1998). Structure, 6(7), 815–819. Web of Science CrossRef Google Scholar
Smolenski, K. W., Shen, Q. & Doing, P. (1997). Proc. SPIE, 3151, 181–187. CrossRef CAS Google Scholar
Szebenyi, D. M. E., Arvai, A., Ealick, S., LaIuppa, J. M. & Nielsen, C. (1997). J. Synchrotron Rad. 4, 128–135. CrossRef CAS Web of Science IUCr Journals Google Scholar
Tate, M. R., Eikenberry, E. F., Barna, S. L., Wall, M. E., Lawrence, J. L. & Gruner, S. M. (1995). J. Appl. Cryst. 28, 196–205. CrossRef CAS Web of Science IUCr Journals Google Scholar
Teng, T. Y. (1990). J. Appl. Cryst. 23, 387–391. CrossRef CAS Web of Science IUCr Journals Google Scholar
Terwilliger, T. C. & Berendzen, J. (1999). Acta Cryst. In the press. Google Scholar
Terwilliger, T. C., Kim, S.-H. & Eisenberg, D. (1987). Acta Cryst. A43, 1–5. CrossRef CAS Web of Science IUCr Journals Google Scholar
Thanos, C. D., Goodwill, K. E. & Bowie, J. U. (1999). Science, 282, 833–836. Web of Science CrossRef Google Scholar
Thiel, D. J., Blank, B. & LaIuppa, J. (1998). J. Synchrotron Rad. 5, 914–916. Web of Science CrossRef CAS IUCr Journals Google Scholar
Thiel, D. J., Ealick, S. E., Tate, M. W., Gruner, S. M. & Eikenberry, E. F. (1996). Rev. Sci. Instrum. 67, 1. CrossRef Google Scholar
Thiel, D. J., le Du, M., Walter, R. L., D'Arcy, A., Chene, C., Fontoulakis, M., Garotta, G., Winkler, F. & Ealick, S. E. (1995). 5th International Conference on Biophysics and Synchrotron Radiation, Grenoble, France. Abstract 01/38. Google Scholar
Thompson, A. W., Habash, J., Harrop, S., Helliwell, J. R., Nave, C., Atkinson, P., Hasnain, S. S., Glover, I. D., Moore, P. R., Harris, N., Kinder, S. & Buffey, S. (1992). Rev. Sci. Instrum. 63(1), 1062–1064. CrossRef Web of Science Google Scholar
Timm, D. E. (1999). Private communication. Google Scholar
Todd, A. K., Adams, A., Powell, H. R., Wilcock, D. J., Thorpe, J. H., Lausi, A., Zanini, F., Wakelin, L. P. G. & Cardin, C. J. (1999). Acta Cryst. D55, 729–735. Web of Science CrossRef CAS IUCr Journals Google Scholar
Turner, M. A., Yuan, C.-S., Borchardt, R. T., Hershfield, M. S., Smith, G. D. & Howell, P. L. (1998). Nat. Struct. Biol. 5, 369–376. Web of Science CrossRef CAS PubMed Google Scholar
Wakatsuki, S., Belrhali, H., Mitchell, E. P., Burmeister, W. P., McSweeney, S. M., Kahn, R., Bourgeois, D., Yao, M., Tomizaki, T. & Theveneau, P. (1998). J. Synchrotron Rad. 5, 215–221. Web of Science CrossRef CAS IUCr Journals Google Scholar
Walsh, M. A., Otwinowski, Z., Perrakis, A., Anderson, P. M. & Joachimiak, A. (1999). Private communication. Google Scholar
Walter, R. L., Ealick, S. E., Friedman, A. M., Blake, R. C., Proctor, P. & Shoham, M. (1996). J. Mol. Biol. 263, 730–751. CrossRef CAS PubMed Web of Science Google Scholar
Walter, R. L., Thiel, D. J., Barna, S. L., Tate, M. W., Eikenberry, E. F., Gruner, S. M. & Ealick, S. E. (1995). Structure, 3, 835–844. CrossRef CAS PubMed Web of Science Google Scholar
Weeks, C. M. & Miller, R. (1999). J. Appl. Cryst. 32, 120–124. Web of Science CrossRef CAS IUCr Journals Google Scholar
Weeks, C. M., Sheldrick, G. M., Miller, R., Uson, I. & Hauptman, H. A. (1999). Bull. Czech Slovak Crystallogr. Assoc. In the press. Google Scholar
Wilson, K. S. (1978). Acta Cryst. A45, 718–726. CrossRef Web of Science IUCr Journals Google Scholar
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