Volume 36 Received 23 July 2002 | Improved dihedral-angle restraints for protein structure refinementaNovartis Pharma AG, Switzerland Because of the relatively low-resolution diffraction of typical protein crystals, structure refinement is usually carried out employing stereochemical restraints to increase the effective number of observations. Well defined values for bond lengths and angles are available from small-molecule crystal structures. Such values do not exist for dihedral angles because of the concern that the strong crystal contacts in small-molecule crystal structures could distort the dihedral angles. This paper examines the dihedral-angle distributions in ultra-high-resolution protein structures (1.2 Å or better) as a means of analysing the population frequencies of dihedral angles in proteins and compares these with the stereochemical restraints currently used in one of the more widely used molecular-dynamics refinement packages, X-PLOR, and its successor, CNS. Discrepancies between the restraints used in these programs and what is actually seen in high-resolution protein structures are examined and an improved set of dihedral-angle restraint parameters are derived from these inspections. Keywords: dihedral angles; protein refinement; stereochemical restraints; X-PLOR; CNS. |
Protein crystals tend to diffract to much lower resolution than small molecules. This means that few data are available for refinement of the structure relative to the number of parameters being refined and must be supplemented by known stereochemical (geometry) restraints on e.g. bond lengths, bond angles, planar groups, chiral centres and dihedral (torsion) angles. Generally the `ideal' values for these restraints come from small-molecule crystal structures, for which high-resolution diffraction ensures robust structure refinement without stereochemical restraints and thus provides unbiased precise values for these parameters (Engh & Huber, 1991
). Unbiased dihedral-angle parameters are difficult to derive from small-molecule crystal structures because the strong crystal contacts in these crystals (ironically the reason they diffract so well) can potentially distort these angles. Dihedral-angle restraints in protein refinement programs are generally derived from the general principle that the most likely dihedral angles are those that minimize steric contact between substituent groups on the atoms defining the dihedral angle. In the protein structure refinement program X-PLOR (Brunger et al., 1987
) and its successor CNS (Accelrys, San Diego), the dihedral energy is defined by the equation
in which k is a force constant, n is the multiplicity of the rotation,
is the current torsion angle in the structure, and
is an offset angle (phase shift) for this dihedral-angle type that defines the minimum energy (= `ideal' values). Since the minimum energy occurs when n
+
= 180°, one can determine the appropriate value for
for a known `ideal' torsion angle (
min):
In this paper, only variable dihedral angles, i.e. the backbone conformation angles
,
and
and the side-chain
angles, will be examined. Dihedral-angle restraints used to maintain planarity, e.g. in aromatic side chains, will not be considered since their preferred conformations are already well defined.
Since ultra-high-resolution protein structures are not dependent on stereochemical restraints for proper refinement, they should provide an unbiased source for determining protein dihedral-angle propensities. Examination of their population frequencies should lead to proper values for n and
, while appropriate force constants can be derived from examination of the width of the distributions around the minima.
All crystal structures refined with diffraction data to 1.2 Å resolution or better deposited in the Protein Data Bank (Rutgers University) as of 26 October 2001 were selected. Where multiple structures of the same protein met this criterion, only the structure resulting from the highest-resolution data was taken. In addition, to reduce the percentage of residues involved in crystal contacts, only proteins consisting of more than 150 residues were used.
The torsion angles were calculated with the program TORCHK (J. Priestle, unpublished results) derived from the subroutine TORSON from the structure refinement program PROLSQ (Hendrickson & Konnert, 1980
). The program checks that adjacent residues in the coordinate list are actually bonded (C-N distance < 2.5 Å) before calculating the backbone dihedral angles
,
and
. When alternate conformations existed, only the major one, as deduced from the occupancies, was used. When more than one copy of the protein existed in the coordinate file, only the A chain was taken, with the exception of one protein (methyl-coenzyme M reductase), which had a dimer of heterogeneous trimers, for which one copy of each of the unique chains (A, B and C) was used. There was no cutoff for ignoring atoms based on temperature factor, occupancy, or other criteria. A fourth side-chain torsion angle (
4) for proline was defined (C
-C
-N-C
), which is usually not considered, but is a restrained dihedral angle nevertheless. Dihedral angles defined to help maintain planarity in aromatic amino acid side chains were not examined as these angles are already well defined (exactly 0° or 180°).
The output from TORCHK for the 46 proteins was then sorted by amino acid type and the individual torsion-angle types grouped together and analysed using Microsoft Excel. In the X-PLOR parameter file, torsion angles are defined according to their innermost atom types, with the exception of the
angle, which is defined by all four atom types. Early in the analysis it was found necessary to establish a new X-PLOR atom type for the C
of proline (CH1E
CH1P), since its geometry is considerably different from the other amino acids with respect to torsion angles. In total, twenty dihedral restraints define all the torsion angles in a protein structure.
The torsion angles measured for a single type were sorted and grouped in 10° bins for frequency analysis. The frequency plots theoretically should reflect the inverse of the energy plots for that dihedral-angle type (low predicted energy should correspond to high population). The multiplicity (n) was determined by visual inspection of the population frequencies. The angle offsets (
) were derived from the torsion-angle minima (
min), which were ascertained by determining the average angle around the frequency maxima. Because of skewing, these were not necessarily the maxima themselves. The X-PLOR dihedral energy formula, while simple, is rather constrained. It demands that the energy minima (population maxima) be evenly spaced and always be exactly (360/n)° apart. This was not always the case and sometimes judicious choices of
had to be made that obeyed this stringent requirement, yet reflected the observed angle population distribution as well as possible. A special case is the side-chain torsion angles of proline, which are constrained by the ring system to angles of roughly +30° or -30°, which translates to a multiplicity of 6 (360°/60° between energy minima). Unavoidably, this then also implies possible minima at the very unlikely angles of ±90° and ±150°.
To check whether there were significant differences in the dihedral-angle frequencies as a function of resolution within this group of 46 high-resolution structures, four representative dihedral angles, namely
+
5 of arginine,
2 of an aromatic amino acid (tyrosine), a side-chain dihedral angle of proline (
1), and the most common side-chain dihedral angle (between CH2E atom types), were analysed in eleven structures solved at `low' resolution (1.2 Å) and in the nine highest-resolution structures (<1.0 Å), and then compared.
In addition to determining more appropriate n and
values based on the observed frequency populations, force constants that are properly scaled to the other stereochemical restraints must also be established. These are generally derived from the observed deviations around the mean (`ideal') values and are directly proportional to 1/
2. For dihedral-angle restraints this is complicated by the fact that the energy function has multiple minima and is not the usual parabolic function, but a cosine function that approximates a parabolic function near the mean, as seen from the Taylor series for the cosine:
where the angle
is in radians.
As long as
is small (error of <0.01 for deviations of <40°), the decrease of the cosine (increase in dihedral-angle restraint energy) is proportional to one-half the square of the deviation from the ideal: (
model -
ideal)2/2. The function is further complicated by the fact that it usually has multiple minima, which has the effect of `squeezing' the energy function (making it increase more quickly) at higher values of n. Lastly, absolute values for the force constants must be found that are in line with those from the other stereochemical restraints. As detailed in the §3
, the force constant is proportional to 2/(
2n2). The absolute value can be determined by examining the current force constants for bond lengths and angles as a function of 1/
2 of their parameters.
The X-PLOR protein topology file protein.top was modified to include a new atom type (CH1P) for the C
of proline. The X-PLOR protein parameter file protein_rep.param was modified to include the new proline torsion angles. The force constants, multiplicities and/or angle offsets of the dihedral-angle restraints were modified to reflect the torsion-angle propensities actually observed in the high-resolution protein structures.
Assessment of the new parameters versus the original values is not trivial. The dihedral energy of the system cannot be used, since this is directly proportional to the force constants selected. In addition, the original dihedral parameters leave the backbone conformational angle (
,
) unrestrained, i.e. they had a force constant of zero. One possible assessment criteria could be the root-mean-square deviation (r.m.s.d.) from ideal values, but this value is also flawed since it depends on the multiplicity of rotation. Higher multiplicities automatically produce narrower ranges of possible deviation, since once a torsion angle deviates too far, it `belongs' to the next minimum. A normalized measure of the r.m.s.d., i.e. r.m.s.d. divided by the maximum possible deviation (r/m.d.), should better demonstrate the distribution of the torsion angles around the minimum and can be compared with what it would be if the torsion angles were randomly distributed (r/m.d.
0.577). Note that an incorrect selection of
min can lead to deviations being systematically worse than random.
The best evidence that the new restraints are better, of course, is whether the use of these parameters causes protein structures, especially those being refined with low-resolution diffraction data, to refine better, i.e. overall better R factors and stereochemistry. Unfortunately, this can only be determined after a significantly large number of structures have been refined independently using both sets of parameters and a comparison made. This is, regrettably, beyond the scope of the current study, but it seems reasonable to assume that dihedral-angle restraints that reflect actual angle propensities in protein structures can only be an improvement over parameters that tend to draw the structure into improbable conformations.
46 ultra-high-resolution structures were selected, which ranged in resolution from 1.20 to 0.78 Å and in size from 151 to 501 residues (Table 1
). The vast majority (85%) had a single protein chain in the asymmetric unit. Nine were present as dimers and one hexamer (a dimer of trimers) was seen. Most of the structures were refined with SHELXL (Sheldrick & Schneider, 1997
). REFMAC (Murshudov et al., 1997
) was used in nine cases; X-PLOR was used for two structures, while CNS and RESTRAIN (Driessen et al., 1989
) were each used once. SHELXL does not use dihedral (torsion) angle restraints because of their multimodal functionality and because they provide an independent stereochemical check. REFMAC does not restrain dihedral angles, per se, but does provide specific van der Waals contact parameters for 1-4 atom pairs.
|
The 46 high-resolution protein structures provided 65290 dihedral angles from 14007 amino acid residues with populations ranging from a minimum of 183 cysteine residues to 1367 alanine residues, so that all amino acid and dihedral-angle types had statistically large enough populations (Table 2
).
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Analysis of a dihedral-angle type consisted of bringing all measured occurrences of that type into a single column of a Microsoft Excel worksheet. These were then sorted and the frequencies grouped into 10° bins starting with -185° and ending with +185°. The first and last bins (only 5° wide) were added together and were identical. These frequencies were then plotted and examined. Multiplicity of rotation (n) was usually easily determined by visual inspection (Fig. 1
). Average dihedral angles around the maximum were determined and adjusted to be (360/n)° apart. Root-mean-square deviations from these average angles were then calculated.
| Figure 1 Frequency of torsion angles observed in 46 ultra-high-resolution protein structures in 10° bins. See Table 2 for conversion between torsion angles defined by X-PLOR atom types and those labeled using the standard protein conformation angle nomenclature. Note that unlike the rest, the peptide -angle/ 5 of arginine runs from 0 to 360° to avoid splitting the peak across the two ends. |
With two new dihedral-angle definitions necessitated by the introduction of the new atom type CE1P for the C
of proline, 20 different dihedral-angle types for proteins were defined by X-PLOR/CNS. Table 2
lists these definitions, along with the locations of the torsion angles in the proteins, the number measured and what their frequency maxima and r.m.s.d. were calculated to be, based on the torsion angles observed in the 46 high-resolution protein structures. Table 3
presents a comparison of four representative dihedral angles calculated from only the `low'-resolution structures (1.2 Å) and the highest-resolution structures (<1.0 Å).
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Generally, the force constants of stereochemical restraints (`weights' in classical least-squares refinement) are directly proportional to 1/
2, where
is the standard deviation of the population of observed values around the mean (`ideal') value. Determining the force constants based on population distributions for dihedral angles is slightly more complicated. In the first place, the energy function itself is not the usual parabolic function [Eq = k*(qobs - qmodel)2]. However, the cosine function used for dihedral-angle restraints in CNS does approximate this function near the ideal values, although it increases only as
2/2 instead of
2 [see equation (3)
]. A further complication is that for the dihedral energy function, the energy increases more quickly with increasing multiplicity (n). Since the cosine function is acting like a parabolic function here, the effect is to overweight the energy by n2. The dihedral-angle restraint force constants are therefore directly proportional to 2/(
2n2).
The appropriate absolute values of the dihedral-angle restraint force constants should be scaled to the other stereochemical restraints. The bond-distance and bond-angle restraints most commonly used with X-PLOR are those suggested by Engh & Huber (1991
), based on their examination of small-molecule bond lengths and angles. Their force constants were calculated to give the same distribution of lengths and angles in protein structures as seen in small-molecule crystal structures when subjected to molecular dynamics at room temperature in the absence of other forces and then scaled to be consistent with the existing dihedral and improper angle parameters. Examination of the bond-distance force constants shows that kbond = 0.592/
2 (
in Å) and for bond angles kangle = 0.592/
2 (
in radians). To keep the new dihedral restraint force constants consistent with the other stereochemical restraints, they should therefore be defined as
(
in radians, n = multiplicity of rotation). Using the observed
values listed in Table 2
, converted to radians, the force constants for the dihedral-angle restraints were calculated according to equation (4)
and are listed in Table 3
.
New multiplicities of rotations (n), offset angles (
) and force constants (k) were calculated for all 20 dihedral restraints based on their observed frequency distribution in 46 high-resolution protein structures (Table 2
). In 16 cases the frequency modality implied by the X-PLOR restraints did not agree with the observed distributions (Fig. 1
, Table 4
). In four of these cases, this had no influence on the refinement procedure, since these angles are usually left unrestrained (force constant = 0), although these angles are included in the calculation of the r.m.s.d. for dihedral angles. The currently used force constants (protein_rep.param or protein.param) are all considerably larger than the observed r.m.s.d. of the torsion angles would indicate. This implies that the torsion-angle restraints are overweighted in the current parameter files relative to the other stereochemical restraints, which is a potentially disturbing state of affairs, since they are generally being restrained to incorrect `ideal' values. It should be noted that these dihedral force constants were increased by a factor of three from the original X-PLOR force constants, not because an analysis of torsion angles suggested that this should be so, but because it was noted that the force constants of the Engh & Huber (1991
) bond-distance and -angle parameters on average were, respectively, roughly three times and seven times larger than the original X-PLOR force constants (Weis, 1992
), although Engh & Huber (1991
) explicitly state that their bond and angle parameters are already scaled to the original dihedral and improper angle restraints.
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Examination of four representative dihedral angles in structures at the `lowest' resolution and at the highest resolution in the group implies that at these resolutions, the dihedral-angle population frequencies are resolution-independent, with the exception that the
peptide angle distribution is narrower at lower resolution and the dihedral-angle distribution of CH2E-CH2E is wider. For the
angle, this has more to do with the refinement programs used than with the resolution of the diffraction data. All three structures refined with X-PLOR or CNS fall in this group and they have an r.m.s.d. of 2.2° for the
peptide angle, while the other structures, refined with other programs, have an r.m.s.d. of 6.1°, almost identical to that seen in the highest-resolution structures. As discussed below, the
peptide angle is too tightly restrained in X-PLOR/CNS. The wider distributions for the dihedral angles CH2E-CH2E are more difficult to explain, except to note that these are found in the side chains of arginine, glutamine, glutamate, lysine and methionine residues, which, with the exception of methionine, are flexible, typically solvent exposed, and notoriously difficult to model unambiguously. Perhaps the >72.8% additional diffraction data in going from 1.2 to <1.0 Å resolution helps to determine these positions more accurately.
Table 4
compares the current CNS dihedral-angle parameters with the ones suggested by this investigation. A comparison of the average Edihe for each dihedral-angle type found in the 46 high-resolution protein structures using the same force constants (those recommended by this study) is also given. These have to be compared with care, since a higher multiplicity of rotation will generally give a lower energy, simply because the range of possible deviation is more restricted. Most of the newer parameters give lower energy, despite having a smaller multiplicity of rotation. Finally, a comparison of the r.m.s.d. divided by the maximum possible deviation (r/m.d.) of the two parameter sets is given. In four cases the old dihedral n and
parameters agree with those found in this study and their energies and r/m.d. values are identical, although their force constants are rather different.
It is also interesting to examine the distribution of the average restraint energies of the individual dihedral-angle types in the 46 high-resolution protein structures using the old and new dihedral-angle restraint parameters. Since the force constants are much lower in the new parameters, a direct comparison between the two is not meaningful, but a comparison within the same parameter set is valid. Fig. 2
(a) shows that from the old parameter set, the average dihedral energy from the peptide
angle is far larger than the others and in fact represents 88% of the total dihedral energy. This angle set also includes
5 of arginine, but numerically this term is dominated by the peptide
angle. Using equation (4)
, the force constant of 1250 kcal mol-1 implies that the standard deviation of
is 0.88°, far tighter than the observed r.m.s.d. of 6.2°. The r.m.s.d. of the
angle in the high-resolution structures is quite similar to the value of 5.9° found by MacArthur & Thornton (1996
), who examined peptides in small-molecule crystal structures, although it is somewhat larger than the value of
5° determined by NMR for ubiquitin in solution (Hu & Bax, 1996
).
| Figure 2 Average energies (kcal mol-1) of the twenty dihedral-angle types in the 46 high-resolution protein structures based on (a) the currently used restraint parameters, and (b) the proposed new parameters. The dihedral energy based on the old parameters is clearly dominated by the peptide angle, implying that it is too tightly restrained. Note that the backbone conformational angles and are not restrained (force constant = 0) in the old parameter set. The contribution to the dihedral energy by the various dihedral-angle types is more evenly distributed when the proposed new dihedral-angle restraint set is used. |
This study has examined the dihedral-angle restraint parameters implemented in the molecular-dynamics refinement programs X-PLOR and CNS and found them generally to be at variance with what is actually observed in ultra-high-resolution protein structures. New parameters based on the observed population frequencies of dihedral angles in these protein structures are suggested. In addition, force constants that are more in line with the other stereochemical restraints have been calculated. In particular, the force constant for the
peptide torsion angle in the old parameter set was found to be far too large and over-restrains this torsion angle. Comparison of the old and new parameters using high-resolution protein structures as `ideal' structures showed that the overall dihedral energy with the new parameters is much lower, both because the force constants are generally smaller and because better selection of the `ideal' torsion angles considerably reduces the deviations of the observed angles from ideal. In this respect the `dihedral r.m.s.d.' usually quoted as a stereochemical quality check for refined structures is probably meaningless when used in conjunction with the old parameters, and in the worse case it is misleading.
The formulation of the dihedral restraints as currently used in X-PLOR/CNS [equation (1)
] is inadequate for many of the dihedral angles in proteins (Fig. 1
) because the frequency maxima are not always separated by an even 360°/n and because the cosine function approximates the Gaussian frequency distributions near the ideal values only. In addition, the cosine function is a poor representation of narrow Gaussian distributions that are widely separated, e.g.
of proline,
and the dihedral angles CH1E-CH1E and CH1E-CH2E. Even with the improved parameters, the negative energy curves have correlation coefficients with the observed frequency distributions of between 0.8990 and 0.4107, with an average correlation of 0.7320 (data not shown). Although this is an improvement over the previous parameters (correlation 0.8000 to -0.4986, average 0.2772, data not shown), there is clearly still room for improvement, presumably by a different formulation that can take into account the possibility of multiple `ideal' values.
It should not be inferred that using the old dihedral-angle restraint parameters in refinement will result in an `incorrect' structure. Of the 65290 torsion angles examined from high-resolution structures, 27881 (42.7%,
,
angles) are usually not even restrained in X-PLOR/CNS. A further 30102 (46.1%) possess correct multiplicities of rotation and ideal minima, but inappropriate force constants (e.g.
and
angles between sp3 carbon atoms). Only 7307 dihedral angles (11.2%) are totally at variance with what is seen in high-resolution well refined protein structures. Proline side-chain
angles, in particular, are badly represented in the current parameter set, being restrained to angles (±60°) that they can never reach because of the constraints placed on them by the ring system (Fig. 1
). In other cases where the current dihedral-angle restraints are inappropriate, the 1-4 atom van der Waals repulsion aids in restraining the torsion angles to reasonable values. In any case, stereochemical restraints are intended as an aid to refinement. The bulk of the refining observations come from the diffraction data, although for low-resolution structures one is more dependent on the stereochemical restraints. It is hoped that by using dihedral-angle refinement parameters based on observed torsion-angle propensities, these stereochemical restraints can act as an aid to refinement rather than as a hindrance.
Although the torsion-angle restraint parameters developed here are formulated for exclusive use with X-PLOR/CNS, the dihedral frequencies observed and standard deviations around dihedral-angle minima can easily be used to derive torsion-angle restraint parameters for other protein refinement programs.
The author thanks Armin Widmer (Novartis Pharma AG) for carefully reading the manuscript and for fruitful discussions.
Betzel, C., Gourinath, S., Kumar, P., Kaur, P., Perbandt, M., Eschenburg, S. & Singh, T. P. (2001). Biochemistry, 40, 3080-3088.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Bourne, P. C., Isupov, M. N. & Littlechild, J. A. (2000). Structure, 8, 143-151.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Brunger, A. T., Kuriyan, J. & Karplus, M. (1987). Science, 235, 458-460.
![[PubMed]](../../../../../../logos/pubmedborder.gif)
Burmeister, W. P., Cottaz, S., Rollin, P., Vasella, A. & Henrissat, B. (2000). J. Biol. Chem. 275, 39385-39393.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
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, 4305-4312.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Derman, A. I. & Agard, D. A. (1999). Nature Struct. Biol. 7, 394-397.
Driessen, H., Haneef, M. I. J., Harris, G. W., Howlin, B., Khan, G. & Moss, D. S. (1989). J. Appl. Cryst. 22, 510-516.
![[details]](../../../../../../j/graphics/details.gif)
Engh, R. A. & Huber, R. (1991). Acta Cryst. A47, 392-400.
![[details]](../../../../../../a/graphics/details.gif)
Ferraroni, M., Rypniewski, W., Wilson, K. S., Viezzoli, M. S., Banci, L., Bertini, I. & Mangani, S. (1999) J. Mol. Biol. 288, 413-426.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Garman, E. F., Wouters, J., Vimr, E., Laver, G. & Sheldrick, G. M. (1996). Acta Cryst. A52, C-8.
Gavuzzo, E., Pochetti, G., Mazza, F., Gallina, C., Gorini, B., D'Alessio, S., Pieper, M., Tschesche, H. & Tucker, P. A. (2000). J. Med. Chem. 43, 3377-3385.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Ghosh, D., Sawicki, M., Lala, P., Erman, M., Pangborn, W., Eyzaguirre, J., Gutierrez, R., Jornvall, H. & Thiel, D. J. (2001). J. Biol. Chem. 276, 11159-11166.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
González, A., Larsson, G., Persson, R. & Cedergren-Zeppezauer, E. (2001). Acta Cryst. D57, 767-774.
![[details]](../../../../../../d/graphics/details.gif)
Gordon, E. J., Leonard, G. A., McSweeney, S. & Zagalsky, P. F. (2001). Acta Cryst. D57, 1230-1237.
![[details]](../../../../../../d/graphics/details.gif)
Grabarse, W., Mahlert, F., Duin, E. C., Goubeaud, M., Shima, S., Thauer, R. K., Lamzin, V. & Ermler, U. (2001). J. Mol. Biol. 309, 315-330.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Gruber, K., Gugganig, M., Wagner, U. G. & Kratky, C. (1999). Biol. Chem. 380, 993-1000.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Guan, Y., Manuel, R. C., Arvai, A. S., Parikh, S. S., Mol, C. D., Miller, J. H., Lloyd, S. & Tainer, J. A. (1998) Nature Struct. Biol. 5, 1058-1064.
![[PubMed]](../../../../../../logos/pubmedborder.gif)
Hakansson, K., Wang, A. H.-J. & Miller, C. G. (2000). Proc. Natl Acad. Sci. USA, 97, 14097-14102.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Heikinheimo, P., Tuominen, V., Ahonen, A. K., Teplyakov, A., Cooperman, B. S., Baykov, A. A., Lahti, R. & Goldman, A. (2001). Proc. Natl Acad. Sci. USA, 98, 3121-3126.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Heine, A., Desantis, G., Luz, J. G., Mitchell, M., Wong, C.-H. & Wilson, I. A. (2001). Science, 294, 369-374.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Hendrickson, W. A. & Konnert, J. H. (1980). Computing in Crystallography, edited by R. Diamond, S. Ramaseshan & K. Venkatesan, pp. 13.01-13.23. Bangalore: Indian Academy of Sciences.
Heroux, A., White, E. L., Ross, L. J., Davis, R. L. & Borhani, D. W. (1999). Biochemistry, 38, 14495-14506.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Hosfield, D. J., Guan, Y., Haas, B. J., Cunningham, R. P. & Tainer, J. A. (1999). Cell, 98, 397-408.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Hu, J. S. & Bax, A. (1996). J. Am. Chem. Soc. 119, 6360-6368. ![[CrossRef]](../../../../../../logos/crossrefborder.gif)
Kahn, A. R., Parrish, J. C., Fraser, M. E., Smith, W. W., Bartlett, P. A. & James, M. N. (1998). Biochemistry, 37, 16839-16845.
![[PubMed]](../../../../../../logos/pubmedborder.gif)
Karlsen, S., Iversen, L. F., Larsen, I. K., Flodgaard, H. J. & Kastrup, J. S. (1998). Acta Cryst. D54, 598-609.
![[details]](../../../../../../d/graphics/details.gif)
Kuhn, P., Knapp, M., Soltis, S. M., Ganshaw, G., Thoene, M. & Bott, R. (1998). Biochemistry, 37, 13446-13452.
![[PubMed]](../../../../../../logos/pubmedborder.gif)
Kumaraswamy, V. S., Lindley, P. F., Slingsby, C. & Glover, I. D. (1996). Acta Cryst. D52, 611-622.
![[details]](../../../../../../d/graphics/details.gif)
Lang, R., Kocourek, A., Braun, M., Tschesche, H., Huber, R., Bode, W. & Maskos, K. (2001). J. Mol. Biol. 312, 731-742.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Lawson, D. M., Williams, C. E., White, D. J., Choay, A. P., Mitchenall, L. A. & Pau, R. N. (1997). J. Chem. Soc. Dalton Trans. pp. 3981-3984. ![[CrossRef]](../../../../../../logos/crossrefborder.gif)
Lee, W., McDonough, M. A., Kotra, L. P., Li, Z.-H., Silvaggi, N. R., Takeda, Y., Kelly, J. A. & Mobashery, S. (2001). Proc. Natl Acad. Sci. USA, 98, 1427-1431.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Longhi, S., Czjzek, M., Lamzin, V., Nicolas, A. & Cambillau, C. (1997). J. Mol. Biol. 268, 779-799.
![[PubMed]](../../../../../../logos/pubmedborder.gif)
Luan, P., Heine, A., Zeng, K., Moyer, B., Greasley, S. E., Kuhn, P., Balch, W. E. & Wilson, I. A. (2000). Traffic, 1, 270-281.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Lubkowski, J., Dauter, Z., Yang, F., Alexandratos, J., Merkel, G., Skalka, A. M. & Wlodawer, A. (1999). Biochemistry, 38, 13512-13522.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
MacArthur, M. W. & Thornton, J. M. (1996). J. Mol. Biol. 264, 1180-1195.
![[PubMed]](../../../../../../logos/pubmedborder.gif)
Meijers, R., Morris, R. J., Adolph, H. W., Merli, A., Lamzin, V. S. & Cedergen-Zeppezauer, E. S. (2001). J. Biol. Chem. 276, 9316-9321.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Murshudov, G. N., Vagin, A. A. & Dodson, E. J. (1997). Acta Cryst. D53, 240-255.
![[details]](../../../../../../d/graphics/details.gif)
Pereira, P. J. B., Macedo-Ribeiro, S., Parraga, A., Perez-Luque, R., Cunningham, O., Darcy, K., Mantle, T. J. & Collect, M. (2001). Nature Struct. Biol. 8, 215-220.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Ridder, I. S., Rozeboom, H. J. & Dijkstra, B. W. (1999). Acta Cryst. D55, 1273-1290.
![[details]](../../../../../../d/graphics/details.gif)
Roberts, S. A., Weichsel, A., Qiu, Y., Shelnutt, J. A., Walker, F. A. & Montfort, W. R. (2001). Biochemistry, 40, 11327-11337.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Rypniewski, W. R., Ostergaard, P. R., Noerregaard-Madsen, M., Dauter, M. & Wilson, K. S. (2001). Acta Cryst. D57, 8-19.
![[details]](../../../../../../d/graphics/details.gif)
Sandalova, T., Schneider, G., Kack, H. & Lindqvist, Y. (1999). Acta Cryst. D55, 610-624.
![[details]](../../../../../../d/graphics/details.gif)
Schmitt, E., Mechulam, Y., Fromant, M., Plateau, P. & Blanquet, S. (1997). EMBO J. 16, 4760-4769.
![[PubMed]](../../../../../../logos/pubmedborder.gif)
Sheldrick, G. M. & Schneider, T. R. (1997). Methods Enzymol. 277, 319-343.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Shlyapnikov, S. V., Lunin, V. V., Perbandt, M., Polyakov, K. M., Lunin, V. Y., Levdikov, V. M., Betzel, C. & Mikhailov, A. M. (2000). Acta Cryst. D56, 567-572.
![[details]](../../../../../../d/graphics/details.gif)
Sulzenbacher, G., Mackenzie, L. F., Wilson, K. S., Withers, S. G., Dupont, C. & Davies, G. J. (1999). Biochemistry, 38, 4826-4833.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Teixeira, S., Lo Leggio, L., Pickersgill, R. & Cardin, C. (2001). Acta Cryst. D57, 385-392.
![[details]](../../../../../../d/graphics/details.gif)
Umhau, S., Pollegioni, L., Molla, G., Diederichs, K., Welte, W., Pilone, M. S. & Ghisla, S. (2000). Natl Acad. Sci. USA, 97, 12463-12468.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Varrot, A., Schulein, M., Fruchard, S., Driguez, H. & Davies, G. J. (2001). Acta Cryst. D57, 1739-1742.
![[details]](../../../../../../d/graphics/details.gif)
Vojtechovsky, J., Chu, K., Berendzen, J., Sweet, R. M. & Schlichting, I. (1999). Biophys. J. 77, 2153-2174.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Wang, Z., Luecke, H., Yao, N. & Quiocho, F. A. (1997) Nature Struct. Biol. 4, 519-522.
![[PubMed]](../../../../../../logos/pubmedborder.gif)
Weis (1992). Comment in distributed X-PLOR parameter file protein.param.
Wlodawer, A., Li, M., Dauter, Z., Gustchina, A., Uchida, K., Oyama, H., Dunn, B. M. & Oda, K. (2001). Nature Struct. Biol. 8, 442-446.
![[ChemPort]](../../../../../../logos/chemportborder.gif)
Würtele, M., Hahn, M., Hilpert, K. & Hohne, W. (2000). Acta Cryst. D56, 520-523.
![[details]](../../../../../../d/graphics/details.gif)
Zhang, Z. H., Ren, J., Stammers, D. K., Baldwin, J. E., Harlos, K. & Schofield, C. J. (2000). Nature Struct. Biol. 7, 127-133.
![[ChemPort]](../../../../../../logos/chemportborder.gif)