research communications
Structural analysis of Helicobacter pylori glutamate racemase in a monoclinic crystal form
aUniversity Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany, bInstitute of Nanostructure and Solid State Physics, University of Hamburg, Germany, and cMax Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany
*Correspondence e-mail: [email protected], [email protected]
This article is part of Celebrating 20 Years of Acta Crystallographica Section F.
Glutamate racemase (MurI) catalyzes the stereochemical interconversion of L-glutamate and D-glutamate, a key element of bacterial peptidoglycan biosynthesis. In this study, we present the crystal structure of Helicobacter pylori glutamate racemase at 1.43 Å resolution and with monoclinic symmetry, as in previously reported models, but with different unit-cell parameters. The present model contains a single dimer in the asymmetric unit and retains the previously described head-to-head dimer arrangement. Comparative analysis of crystal packing reveals that the conserved dimeric assembly frequently adopts similar packing motifs, while differences in the relative arrangement of these dimeric arrays result in altered crystal packing and variations in unit-cell parameters. The monomeric fold and active-site architecture remain conserved and are consistent with the catalytic features described for bacterial glutamate racemases. This structure provides an updated, high-resolution structural model for H. pylori glutamate racemase and highlights the variability of crystal-packing arrangements within related monoclinic crystal forms.
Keywords: glutamate racemases; dimers; monoclinic symmetry.
1. Introduction
Glutamate racemase (MurI) is a cofactor-independent enzyme that catalyzes the reversible stereochemical conversion of L-glutamate and D-glutamate, an essential component of bacterial peptidoglycan (murein). The production of D-glutamate is required for cell-wall biosynthesis, and inhibition of MurI disrupts peptidoglycan assembly, making the enzyme an attractive target for antibacterial drug development (Grishin et al., 2020
; Keating, 2013
). In addition to its metabolic role, MurI has been reported to exhibit secondary functions, such as inhibition of DNA gyrase, highlighting its functional versatility (Fisher, 2008
).
MurI enzymes catalyze racemization through a cofactor-independent two-base mechanism involving deprotonation of the substrate at the α-carbon followed by reprotonation on the opposite face. This reaction is mediated by conserved cysteine residues that act as general acid–base catalysts, and MurI proteins typically consist of two domains (α, β) that form an active site at their interface, with catalytic residues positioned to facilitate stereoinversion of the bound substrate (Ruzheinikov et al., 2005
; Grishin et al., 2020
).
Glutamate racemase from Helicobacter pylori adopts the standard MurI fold and functions as a homodimer, which represents the biologically active form of the enzyme. The dimer interface contributes to enzyme stability and plays a role in shaping the active-site environment with a head-to-head shape (Fisher, 2008
; Lundqvist et al., 2007
). Recent studies have further demonstrated that dimerization is functionally coupled to enzyme dynamics, with inter-subunit communication playing a critical role in catalysis. In particular, the identification of a cryptic allosteric pocket in H. pylori glutamate racemase has revealed that the binding of small-molecule inhibitors can disrupt coupled motions between monomers, thereby impairing catalytic activity (Chheda et al., 2021
). These findings highlight the importance of dynamic interactions across the dimer interface and provide a mechanistic basis for allosteric regulation of MurI. Previous structural studies of H. pylori MurI have provided insight into substrate binding, catalytic mechanism and inhibition, consistently reporting dimeric assemblies in the crystal structures (Fisher, 2008
; Lundqvist et al., 2007
).
In this study, we present a crystallographic analysis of H. pylori glutamate racemase, contributing to the further characterization of its molecular organization and dimer interface. Moreover, time-resolved crystallography (TRX) benefits from highly homogeneous crystals with sufficient solvent content to facilitate ligand diffusion and synchronized reaction initiation. In this context, crystallization conditions for H. pylori glutamate racemase were explored to identify crystal forms with improved properties. Of particular interest is the arrangement of dimers with respect to each other within the crystal. This work provides additional structural information that contributes to understanding the variability in crystal packing and unit-cell organization in MurI enzymes.
2. Materials and methods
2.1. Protein purification and crystallization
The H. pylori MurI gene was cloned in pET-28a(+) vector (GenScript) and expressed in Arctic Express Escherichia coli cells grown in LB medium supplemented with 20 µg ml−1 gentamycin and 50 µg ml−1 kanamycin as the overnight starting culture at 37°C. For the large-scale culture, LB medium was supplemented with 50 µg ml−1 kanamycin and the cells were incubated at 30°C for 3 h (OD600 ≃ 0.7). Protein expression was induced by the addition of isopropyl β-D-1-thiogalactopyranoside to a final concentration of 0.001 M and the cells were further incubated at 13°C for 24 h. The cells were harvested by centrifugation (7500g, 20 min, 4°C) and the pellets were stored at −20°C until purification. The pellets were resuspended in lysis buffer [0.05 M Tris pH 8.0, 0.15 M NaCl, 5%(v/v) glycerol] and sonicated for lysis. The protein was purified by nickel-affinity chromatography using 0.05 M Tris–HCl, 0.15 M NaCl, 0.001 M DTT, 0.002 M ATP-Mg2+ pH 8.0 supplemented with 0.005 and 0.5 M imidazole pH 8.0 as the binding and elution buffer, respectively. Size-exclusion chromatography followed with a final buffer consisting of 0.2 M ammonium acetate pH 7.4, 0.005 M DL-glutamate, 0.001 M DTT (Lundqvist et al., 2007
). Crystallization was performed in sitting drops by mixing 1 µl 10 mg ml−1 protein, 0.8 µl crystallization buffer and 0.2 µl seeds and equilibrating against 100 µl reservoir consisting of 0.1 M Tris pH 8.5, 0.1 M MgSO4, 20%(w/v) PEG 4000.
2.2. X-ray data collection
Single-crystal rotation datasets were collected on beamline P13 at PETRA-III, DESY, Hamburg (Cianci et al., 2017
) at the EMBL Hamburg unit using an EIGER 16M detector. Data-collection and structure-refinement parameters are summarized in Table 1
.
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2.3. Data processing
Diffraction data were automatically processed with AUTOPROC using STARANISO (Vonrhein et al., 2011
; Tickle et al., 2018
). The diffraction limits were determined automatically using the anisotropic resolution cutoff, which estimates the local diffraction limit from the statistical significance of the data in different directions of reciprocal space, based on the local mean I/σ(I), with corresponding CC1/2 statistics. This anisotropic truncation retains statistically significant reflections, and the reported completeness values correspond to the anisotropically truncated dataset and are not directly comparable with conventional spherical completeness values. Molecular replacement was conducted in Phaser (McCoy et al., 2007
) using PDB entry 2jfy (Lundqvist et al., 2007
) as the starting model. Structures were refined using iterative cycles of REFMAC (Vagin et al., 2004
) and Coot (Emsley et al., 2010
). B factors were refined isotropically. Molecular images were generated in PyMOL (Schrödinger, 2015
) and UCSF Chimera (Pettersen et al., 2004
). Molecular interactions were inferred from parsed PDB structures using distance heuristics and projected into a 2D plane, with residues spatially organized around the central ligand. The resulting visualizations were rendered as scalable vector graphics (SVG), depicting atoms, bonds and labels, with dashed lines used to represent noncovalent interactions.
2.4. Calculation of Cα r.m.s.d.
In order to quantify and visualize the changing global structural differences, a pairwise backbone root-mean-square deviation (Cα r.m.s.d.; Kabsch, 1976
; Carugo & Pongor, 2001
) was calculated and represented as a categorical heatmap. Before calculating the r.m.s.d. for a pair, the two structures were aligned via singular value decomposition (SVD; Brunton & Kutz, 2019
) using the Biopython package Bio.SVDSuperimposer in order to minimize the resulting r.m.s.d. value (Schulz et al., 2025
).
2.5. Solvent-channel analysis
Solvent-channel analysis was performed using MAP_CHANNELS (Juers & Ruffin, 2014
). The program computes a distance map from the atomic coordinates and performs a multiscale cluster analysis to identify connected solvent channels and determine their dimensionality (3D, 2D or 1D). The maximum channel radius was defined as the radius of the largest spherical probe capable of continuously traversing the crystal lattice in the corresponding dimensionality.
2.6. Crystal-contact identification
Crystal contacts were analysed using the CCP4 CONTACT software (Agirre et al., 2023
). Symmetry-related molecules were generated according to the crystallographic symmetry operators, and intermolecular contacts between atoms from neighbouring asymmetric units were identified based on interatomic distance criteria. Contacts within a defined distance cutoff of 3.2 Å were used to compare the symmetry-related packing interactions between the different H. pylori MurI crystal forms.
2.7. Crystal-packing analysis and visualization
Crystal packing was analysed and rendered with a custom Python script built on PyMOL 3.1 (Schrödinger, 2015
) and the gemmi library version 0.7.5 (Wojdyr, 2022
). Atomic coordinates, unit-cell parameters and space-group symmetry were read directly from the deposited coordinate files. For each structure the reference asymmetric unit was taken as the deposited coordinates. Symmetry-equivalent molecules were generated by applying the crystallographic symmetry operations of the space group, combined with unit-cell translations, as Cartesian transformations constructed from the gemmi orthogonalization matrices.
2.7.1. Figure generation
For each structure, three complementary representations were produced, and two of them are used for the current study: (i) one-dimensional arrays of molecules along each crystallographic axis (a, b, c), (ii) two-dimensional packing monolayers in the ab, ac and bc planes, restricted to the single layer of molecules containing the reference, and (iii) a three-dimensional view of the reference asymmetric unit together with its contacting symmetry mates within the outlined unit cell. The reference molecule is drawn in blue and symmetry-related molecules in grey; residues forming crystal contacts are shown as spheres, coloured orange for the reference and green for the symmetry mate, and polar contacts are drawn as dashed lines. All colours are taken from the colour-blind-safe palette of Wong (2011
). Crystallographic axes are drawn as labelled arrows.
2.7.2. Transparency statement on the use of artificial intelligence
The analysis and visualization script described above was developed with the Claude code command-line interface (model identifier claude-opus-4-8). The model was used for code generation, debugging and drafting under the direct supervision of the authors. All generated code was executed, inspected and verified by the authors, and all parameter choices, scientific content and interpretations were checked by and remain the responsibility of the authors. No sensitive or personal data were provided to the model.
3. Results and discussion
3.1. Crystal-quality optimization
The initial crystallization condition was based on a previously reported condition for H. pylori glutamate racemase consisting of 0.1 M Tris pH 8.5, 0.2 M MgSO4, 25%(w/v) PEG 4000 (Lundqvist et al., 2007
). This condition was subsequently optimized by varying the pH (from 7.0 to 8.5) and the MgSO4 (from 0.1 to 0.4 M) and PEG 4000 (from 10 to 25%) concentrations to improve the crystal quality and identify conditions that yielded well diffracting crystals.
The morphology of the crystals was strongly affected by pH and PEG concentration variations (Table 2
), regardless of the MgSO4 concentration. Low-pH (<8.0) and low-PEG (<20%) conditions yielded long needles, while the combination of higher pH values (≥8.0) and higher PEG (≥20%) concentration resulted in shorter, thicker needles accompanied by altered unit-cell parameters.
|
||||||||||||||||||||||||||||||||||||||||||||
3.1.1. Seeding
To further explore the influence of microseeding on crystal growth in sitting drops, a seed stock was prepared from the short thick needles, which were more stable and did not fragment during manipulation. This seed stock was then introduced into selected conditions from the full screen of varying salt/PEG concentration and pH (mixing 1 µl 10 mg ml−1 protein solution, 0.8 µl crystallization buffer and 0.2 µl seeds). Under high-pH and high-PEG conditions, seeding produced crystals with a markedly different morphology (Fig. 1
): the crystals were more homogeneous in both shape and size, while maintaining the same unit-cell parameters as the original short, thick needles. These observations indicate that seeding can stabilize crystal growth under specific conditions, leading to improved uniformity without altering the lattice parameters. This could be of particular interest, especially for expanding this study and using these crystals in TRX experiments (Schulz et al., 2022
).
|
|
Figure 1
Photographs of MurI protein crystals under different crystallization conditions. (a) 0.4 M MgSO4, 10% PEG, 0.1 M Tris pH 8.5; (b) 0.1 M MgSO4, 20% PEG, 0.1 M Tris pH 8.5; (c) 0.1 M MgSO4, 20% PEG, 0.1 M Tris pH 8.5, seeding. |
3.2. The monoclinic structural model of MurI
The crystal structure of H. pylori glutamate racemase was determined in a monoclinic space group, with unit-cell parameters a = 59.09, b = 72.95, c = 70.16 Å, β = 113.59° (Table 1
). The asymmetric unit contains one homodimer, consistent with previously reported structures (Lundqvist et al., 2007
). The overall fold of each monomer corresponds to the characteristic architecture of glutamate racemases, consisting of two domains (α and β; Fig. 2
).
|
|
Figure 2
Cartoon representation of the MurI crystal structure. (a) The dimer arrangement with the active-site regions indicated in circles. (b) Close-up of the active site and the surrounding amino acids. |
Previous analyses have shown that MurI glutamate racemases show seemingly species-specific oligomerization and subunit organization. While E. coli MurI forms a monomer, other bacterial MurI glutamate racemases form dimers. In enterococci (Enterococcus faecalis and E. faecium) and Staphylococcus aureus these arrange into tail-to-tail organized dimers. On the contrary, H. pylori MurI adopts a head-to-head dimer organization, which is also conserved in our structure (Lundqvist et al., 2007
).
The data extend to a resolution of 1.43 Å, resulting in a clear electron-density map, which allowed precise modelling of the overall protein and D-glutamate in both active sites. The ligand is positioned within the catalytic pocket and interacts with the surrounding amino acids (Fig. 3
). No major conformational differences are observed compared with earlier models; thus, the refined structure represents a typical example of the enzyme in its dimeric, product-bound form (Fig. 4
).
|
Figure 3
Molecular interactions of D-glutamate. (a) 3D representation of D-glutamate and the amino acids in the active site. An omit mFo − DFc map (Terwilliger et al., 2008 |
|
Figure 4
Cα r.m.s.d. analysis visualizing structural deviations among H. pylori MurI structures. |
Beyond accurate modelling of the protein and bound D-glutamate, the improved resolution allows a more confident placement of ordered solvent molecules in the active site. Comparison of the active-site interactions across all deposited H. pylori MurI structures (Supplementary Figs. S1, S2 and S3) shows that the catalytic architecture and the principal protein–ligand interactions are highly conserved.
3.3. Structural comparison and crystal-packing analysis
Structural comparison with previously reported models of H. pylori glutamate racemase reveals a conserved dimer organization among structures crystallizing in space group P21. The deposited structures adopt the characteristic head-to-head dimer arrangement, in which the active sites are oriented towards the internal face of the dimer interface (Lundqvist et al., 2007
). Despite differences in crystallization conditions and asymmetric unit composition, the overall quaternary assembly is preserved, with all structures containing the same chain arrangement within the dimer.
To compare our structure (PDB entry 29pa) with previously reported H. pylori MurI structures we used the global Cα r.m.s.d. analysis (Kabsch, 1976
; Carugo & Pongor, 2001
) by superimposing 490–510 Cα atoms per model pair (Fig. 4
). Our structure exhibits the same dimeric organization as the deposited models, with differences primarily arising from variations in crystal packing rather than changes in the quaternary assembly.
Across the analysed structures, the Cα r.m.s.d. values remained below 1.3 Å, including comparisons between structures belonging to different space groups, and below 0.8 Å for structures in space group P21, demonstrating a high degree of structural conservation despite substantial differences in crystal-packing arrangements. Two structures (PDB entries 2jfz and 4b1f) showed comparatively higher r.m.s.d. values; however, these models displayed high structural similarity to each other. Both structures correspond to H. pylori MurI bound to an inhibitor and D-glutamate, suggesting that ligand binding may contribute to the observed conformational differences. Thus, while crystal-packing variations have limited effects on the global architecture of MurI, interactions with bound ligands may introduce additional structural rearrangements.
To evaluate the relationship between crystal packing and lattice properties, the refined model was compared with previously reported H. pylori MurI structures (Table 3
), with particular emphasis on the three of them that share the same space group (P21) and the same number of dimers in the asymmetric unit (PDB entries 29pa, 2jfy and 8eb3). Although these structures differ in unit-cell dimensions, they exhibit comparable solvent content and lattice volumes, indicating that optimization of the crystallization conditions preserved the overall packing density while improving the crystal morphology and diffraction quality.
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Solvent-channel analysis was performed using MAP_CHANNELS (Juers & Ruffin, 2014
) to evaluate the connectivity of the solvent network within the crystal lattice. Our structure exhibits a maximum three-dimensional solvent-channel radius of 3.00 Å. Comparison with previously reported H. pylori MurI crystal forms (Fig. 5
) shows that the optimized crystallization conditions produced a crystal form with solvent characteristics comparable to those of the previously reported P21 structures with one dimer in the asymmetric unit, while yielding improved crystal morphology and higher diffraction resolution. Together with the homogeneous morphology and small size of crystals obtained through optimization of the crystallization conditions, these solvent-channel characteristics make the present crystal form suitable for future mixing-based time-resolved crystallography experiments, where efficient ligand diffusion throughout the crystal lattice is desirable (Schulz et al., 2022
).
|
Figure 5
Comparison of the solvent content, maximum channel radius and unit-cell volume across H. pylori MurI structures. |
Crystal-packing arrangements were subsequently compared using symmetry-related intermolecular contacts generated from the deposited crystallographic models (Fig. 6
). For the refined structure with PDB code 29pa, the distribution of symmetry-related contacts and the resulting packing organization across the three crystallographic planes are illustrated in Supplementary Fig. S4. The symmetry-related contacts identified in PDB entry 29pa are summarized in Table 4
, providing a description of the intermolecular interactions contributing to the observed packing arrangement at a residue level.
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Figure 6
Crystal-packing comparison of PDB entries 29pa (space group P21; a = 59.1, b = 73.0, c = 70.2 Å, β = 113.6°), 2jfy (space group P21; a = 52.3, b = 79.0, c = 59.1 Å, β = 92.6°) and 8eb3 (space group P21; a = 53.0, b = 96.0, c = 57.1 Å, β = 113.0°). For each structure, (a) a three-dimensional view of the lattice contacts within the unit-cell and slices of one-dimensional arrays of molecules along the (b) a, (c) b and (d) c axes are shown. In every panel the reference asymmetric unit is shown in blue and symmetry-related molecules in grey. Interacting residues at crystal contacts are drawn as spheres: orange for the reference molecule and green for the symmetry-related molecule. Crystallographic axes are indicated by black arrows labelled a, b and c. |
This comparison revealed that PDB entries 29pa, 2jfy and 8eb3 have similar one-dimensional arrays of MurI dimers. In PDB entries 2jfy and 8eb3 these arrays extend along the crystallographic c axis, whereas in PDB entry 29pa they extend along the a axis. This apparent difference is a consequence of the unit-cell definition for the monoclinic P21 symmetry, with a < c < b, in which alternative choices of the unit-cell axes may describe equivalent packing features.
While the packing interactions within the one-dimensional arrays of dimers could be similar, the relative arrangement of neighbouring arrays differs between the crystal forms. These differences give rise to distinct lattice organizations, unit-cell parameters and crystallographic symmetry descriptions, despite preservation of the MurI dimeric assembly. Extension of the comparison with the remaining deposited H. pylori MurI structures (Table 3
; Supplementary Fig. S5) demonstrates that variability among crystal forms primarily reflects alternative organization of MurI dimers within the crystal lattice rather than changes in the protein quaternary structure. These observations indicate that optimization of the crystallization conditions generated a crystal form with improved diffraction properties while preserving the conserved MurI dimeric assembly within a distinct crystal-packing arrangement.
Taken together, the packing analysis indicates that the crystallographic environment can accommodate substantial variability while preserving the structural integrity of the MurI dimer. The occurrence of related dimer-array arrangements in different crystal forms, combined with differences in how these arrays associate with one another, illustrates the plasticity of intermolecular organization within the crystal lattice. This distinction between variability at the crystal-contact level and conservation of the protein structure is further supported by the low Cα r.m.s.d. values observed across the available MurI structures, including structures belonging to different space groups. From this perspective, the crystal packing represents an important source of structural variability at the lattice level, while having a comparatively limited influence on the overall MurI architecture. The potential relationship between specific packing contacts and local conformational features, including the cryptic allosteric region described previously (Lundqvist et al., 2007
), remains an interesting question for future comparative structural studies.
4. Conclusions
In the present study, the crystal structure of H. pylori MurI is presented in monoclinic symmetry, confirming the dimeric assembly in the asymmetric unit and the conserved active-site architecture in comparison with previously reported models for the same species.
Comparative analysis of crystal packing reveals that the conserved dimeric assembly can adopt diverse lattice arrangements, with some crystal forms exhibiting recurring one-dimensional dimer packing features. Variations in the organization of these assemblies contribute to differences in crystal packing and unit-cell parameters.
The crystallization screening yielded crystal forms with differences in solvent content and lattice organization. These observations highlight the influence of crystallization conditions on crystal packing and structural variability, with seeding contributing to improved homogeneity and modulation of crystal morphology while preserving the overall protein architecture. In addition to facilitating structure determination at 1.43 Å resolution, the resulting crystal form provides a promising starting point for future time-resolved crystallographic studies. The combination of homogeneous crystal morphology, small crystal size and high diffraction quality is particularly advantageous for mixing-based experiments, where rapid and reproducible ligand diffusion throughout the crystal population is required. A more comprehensive assessment of the suitability of different crystal forms for time-resolved studies, including the effects of crystal size and lattice organization on diffusion properties, could be part of future studies.
Acknowledgements
We would like to thank G. Gore for help with the 2D ligand-interaction diagrams. Open access funding enabled and organized by Projekt DEAL.
Funding information
The authors gratefully acknowledge the support provided by the Max Planck Society. This work is supported by the Cluster of Excellence `CUI: Advanced Imaging of Matter' of the Deutsche Forschungsgemeinschaft (DFG) – EXC 2056 – project ID 390715994. ES acknowledges support by the Federal Ministry of Education and Research, Germany, under grant No. 01KI2114. Funded by the European Union (ERC, DynaPLIX, SyG-2022 101071843). The views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency (ERCEA). Neither the European Union nor the granting authority can be held responsible for them.
References
Agirre, J., Atanasova, M., Bagdonas, H., Ballard, C. B., Baslé, A., Beilsten-Edmands, J., Borges, R. J., Brown, D. G., Burgos-Mármol, J. J., Berrisford, J. M., Bond, P. S., Caballero, I., Catapano, L., Chojnowski, G., Cook, A. G., Cowtan, K. D., Croll, T. I., Debreczeni, J. É., Devenish, N. E., Dodson, E. J., Drevon, T. R., Emsley, P., Evans, G., Evans, P. R., Fando, M., Foadi, J., Fuentes-Montero, L., Garman, E. F., Gerstel, M., Gildea, R. J., Hatti, K., Hekkelman, M. L., Heuser, P., Hoh, S. W., Hough, M. A., Jenkins, H. T., Jiménez, E., Joosten, R. P., Keegan, R. M., Keep, N., Krissinel, E. B., Kolenko, P., Kovalevskiy, O., Lamzin, V. S., Lawson, D. M., Lebedev, A. A., Leslie, A. G. W., Lohkamp, B., Long, F., Malý, M., McCoy, A. J., McNicholas, S. J., Medina, A., Millán, C., Murray, J. W., Murshudov, G. N., Nicholls, R. A., Noble, M. E. M., Oeffner, R., Pannu, N. S., Parkhurst, J. M., Pearce, N., Pereira, J., Perrakis, A., Powell, H. R., Read, R. J., Rigden, D. J., Rochira, W., Sammito, M., Sánchez Rodríguez, F., Sheldrick, G. M., Shelley, K. L., Simkovic, F., Simpkin, A. J., Skubak, P., Sobolev, E., Steiner, R. A., Stevenson, K., Tews, I., Thomas, J. M. H., Thorn, A., Valls, J. T., Uski, V., Usón, I., Vagin, A., Velankar, S., Vollmar, M., Walden, H., Waterman, D., Wilson, K. S., Winn, M. D., Winter, G., Wojdyr, M. & Yamashita, K. (2023). Acta Cryst. D79, 449–461.
Web of Science
CrossRef
IUCr Journals
Google Scholar
Brunton, S. L. & Kutz, J. N. (2019). Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control, pp. 3–46. Cambridge University Press.
Google Scholar
Carugo, O. & Pongor, S. (2001). Protein Sci. 10, 1470–1473.
Web of Science
CrossRef
PubMed
CAS
Google Scholar
Chheda, P. R., Cooling, G. T., Dean, S. F., Propp, J., Hobbs, K. F. & Spies, M. A. (2021). Commun. Chem. 4, 172.
CrossRef
PubMed
Google Scholar
Cianci, M., Bourenkov, G., Pompidor, G., Karpics, I., Kallio, J., Bento, I., Roessle, M., Cipriani, F., Fiedler, S. & Schneider, T. R. (2017). J. Synchrotron Rad. 24, 323–332.
Web of Science
CrossRef
CAS
IUCr Journals
Google Scholar
Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. (2010). Acta Cryst. D66, 486–501.
Web of Science
CrossRef
CAS
IUCr Journals
Google Scholar
Fisher, S. L. (2008). Microb. Biotechnol. 1, 345–360.
CrossRef
PubMed
Google Scholar
Grishin, A. V., Karyagina, A. S., Vasina, D. V., Vasina, I. V., Gushchin, V. A. & Lunin, V. G. (2020). Crit. Rev. Microbiol. 46, 703–726.
CrossRef
PubMed
Google Scholar
Juers, D. H. & Ruffin, J. (2014). J. Appl. Cryst. 47, 2105–2108.
Web of Science
CrossRef
IUCr Journals
Google Scholar
Kabsch, W. (1976). Acta Cryst. A32, 922–923.
CrossRef
IUCr Journals
Web of Science
Google Scholar
Keating, T. A. (2013). Future Med. Chem. 5, 1203–1214.
CrossRef
PubMed
Google Scholar
Lundqvist, T., Fisher, S. L., Kern, G., Folmer, R. H. A., Xue, Y., Newton, D. T., Keating, T. A., Alm, R. A. & de Jonge, B. L. M. (2007). Nature, 447, 817–822.
CrossRef
PubMed
Google Scholar
McCoy, A. J., Grosse-Kunstleve, R. W., Adams, P. D., Winn, M. D., Storoni, L. C. & Read, R. J. (2007). J. Appl. Cryst. 40, 658–674.
Web of Science
CrossRef
CAS
IUCr Journals
Google Scholar
Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C. & Ferrin, T. E. (2004). J. Comput. Chem. 25, 1605–1612.
Web of Science
CrossRef
PubMed
CAS
Google Scholar
Ruzheinikov, S. N., Taal, M. A., Sedelnikova, S. E., Baker, P. J. & Rice, D. W. (2005). Structure, 13, 1707–1713.
CrossRef
PubMed
Google Scholar
Schrödinger (2015). The PyMOL Molecular Graphics System. http://www.pymol.org.
Google Scholar
Schulz, E. C., Prester, A., von Stetten, D., Gore, G., Hatton, C. E., Bartels, K., Leimkohl, J., Schikora, H., Ginn, H. M., Tellkamp, F. & Mehrabi, P. (2025). Nat. Commun. 16, 6553.
CrossRef
PubMed
Google Scholar
Schulz, E. C., Yorke, B. A., Pearson, A. R. & Mehrabi, P. (2022). Acta Cryst. D78, 14–29.
Web of Science
CrossRef
IUCr Journals
Google Scholar
Terwilliger, T. C., Grosse-Kunstleve, R. W., Afonine, P. V., Moriarty, N. W., Adams, P. D., Read, R. J., Zwart, P. H. & Hung, L.-W. (2008). Acta Cryst. D64, 515–524.
Web of Science
CrossRef
CAS
IUCr Journals
Google Scholar
Tickle, I., Flensburg, C., Keller, P., Paciorek, W., Sharff, A., Vonrhein, C. & Bricogne, G. (2018). STARANISO. Global Phasing, Cambridge, United Kingdom.
Google Scholar
Vagin, A. A., Steiner, R. A., Lebedev, A. A., Potterton, L., McNicholas, S., Long, F. & Murshudov, G. N. (2004). Acta Cryst. D60, 2184–2195.
Web of Science
CrossRef
CAS
IUCr Journals
Google Scholar
Vonrhein, C., Flensburg, C., Keller, P., Sharff, A., Smart, O., Paciorek, W., Womack, T. & Bricogne, G. (2011). Acta Cryst. D67, 293–302.
Web of Science
CrossRef
CAS
IUCr Journals
Google Scholar
Wojdyr, M. (2022). J. Open Source Softw. 7, 4200.
CrossRef
Google Scholar
Wong, B. (2011). Nat. Methods, 8, 441.
CrossRef
PubMed
Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.

menu
access