research communications
of the plant GABA aminotransferase AtGABA-T from Arabidopsis thaliana
aDepartment of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan, bResearch Center for Food Safety, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan, cDepartment of Chemistry and Biological Science, Faculty of Science, Josai University, Saitama 350-0295, Japan, dGraduate School of Pharmaceutical Sciences, Josai University, Saitama 350-0295, Japan, and eAgricultural Bioinformatics Research Unit, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan
*Correspondence e-mail: [email protected], [email protected]
γ-Aminobutyric acid aminotransferase (GABA-T) is a pyridoxal 5′-phosphate (PLP)-dependent enzyme that catalyzes γ-aminobutyric acid (GABA) degradation in the mitochondrial GABA shunt. Plant GABA-Ts correspond to EC 2.6.1.96 and differ from mammalian and bacterial GABA-Ts (EC 2.6.1.19) in substrate specificity; however, their structural basis has remained unclear. Here, we report the crystal structure of GABA aminotransferase from Arabidopsis thaliana (AtGABA-T) at 2.0 Å resolution. Structural comparison using Foldseek indicates that AtGABA-T belongs to the class III aminotransferase family. Comparison with a class III ω-aminotransferase suggests that Arg423 located in the C-terminal region of AtGABA-T functions as the primary anchor for the carboxyl group of GABA, together with residues forming a tunnel-shaped substrate-access pathway. In contrast to nonplant GABA aminotransferases, which utilize a conserved N-terminal arginine for substrate recognition, AtGABA-T employs a distinct C-terminal arginine. These findings provide direct structural evidence for the classification of AtGABA-T as a class III aminotransferase and reveal a distinct mode of substrate recognition in AtGABA-T.
PDB reference: GABA aminotransferase from Arabidopsis thaliana, 21ft
1. Introduction
γ-Aminobutyric acid (GABA) is a nonproteinogenic amino acid that is widely distributed in plants, animals and microorganisms, where it functions in both metabolism and signaling. In most organisms, GABA is catabolized through the so-called GABA shunt, a metabolic bypass of the tricarboxylic acid (TCA) cycle that converts GABA to succinate via two enzymatic steps. GABA aminotransferase (GABA-T) catalyzes the first step of this pathway by transferring the amino group of GABA to an α-keto acid acceptor, yielding succinic semialdehyde and the corresponding amino acid. This reaction is dependent on the cofactor pyridoxal 5′-phosphate (PLP), and GABA-Ts belong to the aminotransferase superfamily (Fait et al., 2008
).
Two types of GABA aminotransferase activity have been described based on substrate specificity and enzyme classification. GABA-Ts corresponding to EC 2.6.1.19, which preferentially use α-ketoglutarate as the amino acceptor, are found in mammals, fungi and many bacteria. In contrast, plant GABA-Ts correspond to EC 2.6.1.96 and preferentially use pyruvate and glyoxylate as the amino acceptor (Clark et al., 2009
). In plants, the GABA shunt is closely linked to carbon–nitrogen balance, pH regulation and responses to biotic and abiotic stresses. GABA levels rapidly increase in response to environmental stimuli such as salinity, mechanical damage and pathogen attack, indicating an important role for GABA metabolism in stress adaptation (Renault et al., 2010
).
In Arabidopsis thaliana, a mitochondrial GABA aminotransferase encoded by the POP2 gene (AtGABA-T) has been genetically and biochemically characterized (Clark et al., 2009
). Loss-of-function mutations in POP2 result in the accumulation of GABA and altered levels of downstream metabolites, leading to defects in reproductive development and stress responses (Palanivelu et al., 2003
; Renault et al., 2010
). These observations underscore the physiological importance of AtGABA-T in maintaining GABA homeostasis in planta.
Extensive biochemical and structural studies have been conducted on GABA aminotransferases from mammals and microorganisms, revealing conserved catalytic mechanisms of PLP-dependent transamination and identifying key residues involved in cofactor and substrate binding (Koper et al., 2022
). These enzymes are typically classified as class II aminotransferases and utilize a conserved arginine residue located in the N-terminal region to anchor the carboxyl group of GABA. In contrast, plant GABA aminotransferases have been predicted from sequence analyses to belong to the class III aminotransferase family; however, direct structural evidence supporting this classification and elucidating the substrate-recognition mechanism of plant GABA-Ts has remained limited.
To address this gap, we determined the crystal structure of GABA aminotransferase from A. thaliana (AtGABA-T). Structural comparison using the Foldseek server (van Kempen et al., 2024
) supports the conclusion that AtGABA-T belongs to the class III aminotransferase family. Furthermore, comparison with a class III aminotransferase for which a substrate-complex structure has been reported provides insights into the molecular basis of GABA recognition by AtGABA-T. These structural data reveal a mode of substrate recognition that differs from that of mammalian and bacterial GABA aminotransferases and provide a framework for understanding the unique features of plant GABA metabolism.
2. Materials and methods
2.1. Protein production
The plasmid construct for AtGABA-T used in this study was based on that previously described by Sano et al. (2023
) (Table 1
). AtGABA-T contains an N-terminal mitochondrial targeting signal consisting of 36 amino-acid residues; this region was removed for recombinant expression. The truncated AtGABA-T gene was cloned into the pET-3c vector with a C-terminal 5×His tag and transformed into Escherichia coli KRX cells. Transformed cells were grown overnight at 310 K in 10 ml Luria–Bertani (LB) medium supplemented with 50 µg ml−1 ampicillin. The overnight culture was used to inoculate 1.0 l LB medium containing 50 µg ml−1 ampicillin and was grown at 310 K with shaking until the at 600 nm reached 0.6–1.0. Protein expression was induced by the addition of 1.0 g rhamnose, and the culture was further incubated overnight at 289 K with shaking. The cells were harvested by centrifugation at 4000g for 30 min at 277 K and were stored at 193 K until use. The cell pellet was resuspended in 35 ml phosphate-buffered saline (PBS) pH 7.4 on ice and lysed by homogenization. Cell debris was removed by centrifugation at 40 000g for 30 min at 277 K, and the resulting supernatant was applied onto an Ni–NTA affinity column (Bio-Rad) pre-equilibrated with PBS at 277 K. After washing with wash buffer consisting of 50 mM sodium phosphate buffer pH 8.0, 150 mM NaCl, 20–40 mM imidazole, the bound protein was eluted with elution buffer consisting of 50 mM sodium phosphate buffer pH 8.0, 150 mM NaCl, 100 mM imidazole at 277 K. PLP was added to the eluted protein fraction to a final concentration of 1 mM, followed by incubation on ice for 1 h. The protein sample was then further purified by size-exclusion chromatography using a Superdex 200 Increase 10/300 GL column (Cytiva) equilibrated with SEC buffer consisting of 50 mM HEPES–NaOH pH 7.5, 150 mM NaCl, 5 mM TCEP at 277 K. The purity of AtGABA-T was confirmed by SDS–PAGE.
| ||||||||||||
2.2. Crystallization
Purified AtGABA-T was concentrated using an Amicon Ultra-15 centrifugal filter unit with a 50 000 nominal molecular-weight limit (NMWL; Millipore). The protein concentration was adjusted to 5.1 mg ml−1 as determined by the absorbance at 280 nm. Initial crystallization screening was performed at 293 K using the sitting-drop vapor-diffusion method in 96-well plates (Violamo) with commercially available screening kits (PEG/Ion; Hampton Research). Drops were prepared by mixing 0.5 µl protein solution with 0.5 µl reservoir solution and equilibrated against 50 µl reservoir solution. Small crystals appeared within one week under several conditions, including PEG/Ion conditions A4, A7 and C4. Optimization of the crystallization conditions was carried out using the hanging-drop vapor-diffusion method in 24-well plates (Hampton Research) at 293 K. Drops were prepared by mixing 1.0 µl protein solution with 1.0 µl reservoir solution and were equilibrated against 500 µl reservoir solution. Diffraction-quality crystals were obtained within one week under optimized conditions consisting of 0.2 M calcium acetate hydrate pH 7.6, 18%(w/v) polyethylene glycol 3350. These conditions were derived from the original PEG/Ion condition C4 [0.2 M calcium acetate hydrate pH 7.5, 20%(w/v) polyethylene glycol 3350].
2.3. Cryoprotection, X-ray diffraction data collection and processing
AtGABA-T crystals were cryoprotected using a two-step protocol. Crystals were first soaked briefly in cryoprotectant I consisting of 0.22 M calcium acetate hydrate pH 7.6, 19.8%(w/v) polyethylene glycol 3350, 10%(v/v) ethylene glycol. The crystals were then transferred to cryoprotectant II consisting of 0.24 M calcium acetate hydrate pH 7.6, 21.6%(w/v) polyethylene glycol 3350, 20%(v/v) ethylene glycol, followed by flash-cooling in liquid nitrogen.
X-ray diffraction data were collected at 100 K on beamline BL44XU at SPring-8, Hyogo, Japan and on beamline BL-17A at the Photon Factory, Tsukuba, Japan. Diffraction images were indexed, integrated and scaled using XDS (Kabsch, 2010
). The crystal structure analysis was performed using software packages included in CCP4 (Agirre et al., 2023
) and Phenix (Liebschner et al., 2019
). Initial phases were obtained by molecular replacement using MOLREP (Vagin & Teplyakov, 1997
) with a structural model predicted by AlphaFold3 (Abramson et al., 2024
) as the search template. Model building and refinement were performed using REFMAC5 (Murshudov et al., 2011
), Coot (Emsley & Cowtan, 2004
) and phenix.refine (Afonine et al., 2012
). Polder maps were calculated using Phenix (Liebschner et al., 2017
) to validate ligand density. Molecular graphics were produced and structural analyses were carried out using PyMOL (Schrödinger).
2.4. Comparative sequence analysis
The representative plant POP2 homologs shown in Supplementary Fig. S1 were selected from the supplementary dataset of Koper et al. (2024
) to cover phylogenetically diverse plant species. Selected mammalian GABA aminotransferase homologs (Supplementary Fig. S2) and representative bacterial class III aminotransferases identified by Foldseek (Supplementary Fig. S3) were included for comparison. Multiple sequence alignments were generated using Clustal Omega (Sievers et al., 2011
), and residues corresponding to the N-terminal arginine and AtGABA-T Arg423 were examined in the aligned sequences.
3. Results and discussion
3.1. Overall structure
The of AtGABA-T was determined at 2.0 Å resolution. Data-collection and refinement statistics are summarized in Table 2
. The asymmetric unit contains two homodimers (chains A–B and C–D; Fig. 1
a). Structural superposition of chains B, C and D onto chain A revealed that the four subunits are highly similar, with root-mean-square deviation (r.m.s.d.) values of 0.143, 0.166 and 0.123 Å, respectively, calculated over all Cα atoms.
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | Figure 1 Crystal structure of A. thaliana GABA aminotransferase (AtGABA-T). (a) Structural overview of the AtGABA-T dimers (chains A–B and C–D) observed in the crystal lattice. The PLP cofactor is covalently linked to Lys292 in all subunits, forming an internal aldimine. PLP and Lys292 are shown as yellow spheres. (b) Close-up view of the active site showing the internal aldimine form of PLP. The main protomer is shown in green and the neighboring protomer is shown in cyan. A polder map contoured at 4.0σ is shown around the PLP cofactor. |
To identify structural homologs of AtGABA-T, a structural similarity search of the PDB was performed using the Foldseek server. The top structural hits were all annotated as class III aminotransferases (Table 3
), including ω-aminotransferases, putative aminotransferases, pyruvate transaminases and related transaminases from diverse bacterial species. Comparison of these homologs revealed that the residue corresponding to the N-terminal substrate-recognition arginine found in nonplant GABA aminotransferases was replaced by other residues, whereas the position corresponding to AtGABA-T Arg423 was conserved as an arginine. These results support the assignment of AtGABA-T to the class III aminotransferase fold and indicate that among the top structural homologs examined here, the substrate-anchoring arginine is located in the C-terminal region.
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Clear electron density was observed for the PLP cofactor in all subunits. PLP is covalently linked to Lys292, forming an internal aldimine, and is stabilized by a conserved network of interactions involving residues from both domains (Fig. 1
b). These features indicate that AtGABA-T shares the core structural framework characteristic of PLP-dependent aminotransferases.
3.2. Structural basis for GABA recognition
To elucidate the structural basis for GABA recognition by AtGABA-T, we performed a comparative structural analysis with Pseudomonas jessenii ω-aminotransferase (PjAT), a class III aminotransferase for which a substrate-analog complex structure has been reported (PDB entry 6g4e; Palacio et al., 2019
). PjAT utilizes 6-aminohexanoic acid as an amino-group donor, which possesses a longer aliphatic chain than GABA, and thus provides a useful reference for understanding substrate specificity within the class III aminotransferase family.
Structural superposition of AtGABA-T and PjAT resulted in a root-mean-square deviation (r.m.s.d.) of 0.66 Å over all Cα atoms, indicating a high degree of structural similarity (Figs. 2
a and 2
b). In the PjAT–substrate analog complex, the terminal carboxylate group of the substrate is anchored by Arg417 located in the C-terminal region. Arg423 is the corresponding residue of AtGABA-T and the side chain also points into the substrate-binding pocket, strongly suggesting that this residue functions as the primary anchor for the carboxyl group of GABA in AtGABA-T.
| Figure 2 Structural comparison of the substrate-binding sites of AtGABA-T and P. jessenii ω-aminotransferase (PjAT; PDB entry 6g4e). Key residues involved in substrate recognition and the PLP cofactor are shown as stick models. (a) Substrate-binding site of AtGABA-T near the PLP cofactor. Residues forming the substrate-binding pocket are shown, with Arg423 positioned as a putative anchor residue for substrate capture. (b) Substrate-binding site of PjAT in complex with the substrate analog 6-aminohexanoic acid (AHA). The external aldimine formed between AHA and PLP is shown. Arg417 of PjAT anchors the carboxylate group of AHA by forming a salt bridge. Dashed lines indicate the salt-bridge and hydrogen-bond interactions between Arg417 and AHA. (c) Superposition of the AtGABA-T and PjAT active sites. Trp91 and Arg423 of AtGABA-T, Ser87 and Arg417 of PjAT, and the PLP cofactor and PLP–AHA external aldimine are shown as stick models. The superposition highlights that Trp91 of AtGABA-T occupies a bulkier position than the corresponding serine residue of PjAT, suggesting that this steric difference may influence the local conformational environment of the anchoring arginine near the ligand-binding site. (d) Schematic model illustrating a possible rearrangement of the anchor residue in AtGABA-T [corresponding to (a)]. A two-dimensional schematic representation of the AtGABA-T substrate-binding site illustrates a possible spatial relationship between Arg423 and Trp91 (corresponding to Ser87 in PjAT). This model suggests that accommodation of GABA may require local conformational adjustment of Arg423 to allow salt-bridge formation with the substrate carboxylate. (e) Schematic model of the substrate-binding mode in PjAT. A two-dimensional representation of the PjAT active site [corresponding to (b)] illustrates the established binding mode, in which Arg417 stably anchors the carboxylate group of AHA and the surrounding residues define the substrate-access channel. |
Despite this positional conservation of the arginine residue, differences are observed in the active-site entrance that are likely to contribute to substrate specificity (Figs. 2
c–2
e). In AtGABA-T (Fig. 2
d), Trp91′ (where the prime indicates a residue from the partner subunit) is positioned adjacent to Arg423, and its bulky aromatic side chain is expected to restrict the orientation and mobility of Arg423, thereby favoring binding of the shorter substrate GABA. In contrast, in PjAT (Fig. 2
e) the corresponding residue, Ser87′, creates a more spacious substrate-binding pocket around Arg417. The additional space may facilitate accommodation of the longer substrate 6-aminohexanoate (AHA). These structural differences suggest a possible mechanism by which substrate-length discrimination is achieved within class III aminotransferases.
In addition to the anchoring arginine, several residues contribute to shaping a tunnel-like pathway leading from the protein surface to the PLP cofactor. In AtGABA-T, Trp62 is positioned at the entrance to the active site and is likely to function as a gatekeeper residue, forming a hydrophobic environment suitable for the aliphatic chain of GABA. Tyr156 constitutes part of the tunnel wall and further contributes to the hydrophobic character of the substrate-binding pathway. These residues correspond well to Trp58 and Tyr151 in PjAT, respectively, indicating a conserved architecture for substrate access among class III aminotransferases.
Taken together, these structural observations suggest that AtGABA-T recognizes GABA through anchoring of the substrate carboxyl group by Arg423 in the C-terminal region, combined with size and shape selection mediated by residues lining the substrate-access tunnel. This mode of substrate recognition provides a structural basis for understanding the specificity of plant GABA aminotransferases and sets the stage for comparison with GABA aminotransferases from other enzyme classes.
3.3. Structural comparison to bacterial and mammalian aminotransferases that use an arginine in the N-terminal region as an anchor for the substrate carboxylate group
To clarify the molecular basis of GABA recognition by AtGABA-T, we compared its active-site architecture with those of representative bacterial and mammalian GABA aminotransferases. Structural analyses of canonical GABA aminotransferases from Corynebacterium glutamicum (PDB entry 6j2v; Hong & Kim, 2019
) and Arthrobacter aurescens (PDB entry 4atq; Bruce et al., 2012
), both classified as EC 2.6.1.19 enzymes, have shown that substrate recognition relies on a conserved arginine residue located in the N-terminal region, which anchors the carboxyl group of GABA.
In AtGABA-T, this conserved N-terminal arginine is absent and the corresponding position is occupied by Ser159 (Fig. 3
). Instead, Arg423 located in the C-terminal region is positioned within the active site and is suitably oriented to interact with the substrate carboxyl group. Structural superposition revealed that Arg423 occupies a position distinct from the N-terminal anchoring arginine in bacterial enzymes, indicating a fundamentally different arrangement of charged residues within the substrate-binding pocket.
| Figure 3 Structural superimposition of the active-site region of AtGABA-T and bacterial GABA aminotransferase homologs. The active site of AtGABA-T is superimposed with those of bacterial GABA aminotransferases from Corynebacterium glutamicum (PDB entry 6j2v) and Arthrobacter aurescens (PDB entry 4atq). Key residues involved in substrate carboxylate recognition, including the N-terminal anchoring arginine in the bacterial enzymes and the corresponding region in AtGABA-T, are shown as stick models. |
Detailed comparison of the active-site environments further highlights this difference. In some bacterial GABA aminotransferases, the N-terminal arginine is supported by surrounding residues that stabilize its orientation for substrate capture. In AtGABA-T, Arg423 is embedded in a different local environment, with neighboring residues shaping a tunnel-like access pathway to the PLP cofactor. This rearrangement results in a redistribution of electrostatic features within the active site, while preserving the overall catalytic framework.
These observations suggest that AtGABA-T employs a distinct residue arrangement for GABA recognition, in which the primary carboxylate-anchoring role appears to be shifted from the N-terminal to the C-terminal region of the enzyme. Comparative sequence analysis further suggests that this C-terminal arginine arrangement is broadly conserved among the representative plant POP2 homologs examined here, whereas animal GABA aminotransferases more commonly retain the N-terminal arginine (Supplementary Figs. S1 and S2).
3.4. Structural classification based on fold-type architecture
The positioning of the substrate-anchoring arginine residue in AtGABA-T provides a key criterion for its structural classification within the aminotransferase superfamily. Canonical GABA aminotransferases classified as EC 2.6.1.19 are generally assigned to class II aminotransferases and utilize a conserved N-terminal arginine residue to anchor the carboxyl group of GABA.
In AtGABA-T, this N-terminal arginine is absent and is replaced by Ser159, while Arg423 located in the C-terminal region occupies a position suitable for carboxylate anchoring. This residue arrangement closely mirrors that observed in class III aminotransferases, such as the ω-aminotransferase from P. jessenii (PDB entry 6g4e; Palacio et al., 2019
). Consistent with this structural observation, sequence analysis of representative bacterial aminotransferases further supports this distinction: in class II enzymes the N-terminal arginine-equivalent position is conserved, whereas in class III homologs the corresponding position is not conserved and an arginine residue is instead found at the position corresponding to AtGABA-T Arg423 (Supplementary Fig. S3).
Global structural comparisons further support this classification. Structural superposition of AtGABA-T with mammalian class II GABA aminotransferase from Sus scrofa and with a class III ω-aminotransferase indicates that AtGABA-T shows greater overall structural similarity to the class III enzyme than to the class II enzyme (Fig. 4
). Analysis of Cα r.m.s.d. values indicates that the overall fold of AtGABA-T is more closely conserved with class III aminotransferases than with canonical class II GABA aminotransferases.
| | Figure 4 Structural comparison of AtGABA-T with class II and class III aminotransferases. (a) Superposition of AtGABA-T with Sus scrofa GABA aminotransferase (PDB entry 1ohv), a representative class II aminotransferase. (b) Superposition of AtGABA-T with an ω-transaminase (PDB entry 6g4e), a representative class III aminotransferase. In both panels, the query structures are colored according to the Cα root-mean-square deviation (r.m.s.d.) values relative to AtGABA-T. The color gradient ranges from blue (0 Å) to red (10 Å), indicating high and low structural conservation, respectively. The overall fold of AtGABA-T shows greater structural similarity to the class III ω-transaminase than to the class II enzyme. |
Taken together, both the local active-site architecture and the global fold characteristics support the conclusion that AtGABA-T is best classified as a class III aminotransferase. The C-terminal localization of the substrate-anchoring arginine therefore appears to be a characteristic feature of AtGABA-T and related plant POP2 homologs, while a similar arrangement is also observed in representative bacterial class III aminotransferases, as supported by the sequence analysis shown in Supplementary Fig. S3.
4. Conclusion
In this study, we determined the of A. thaliana GABA aminotransferase (AtGABA-T), providing direct structural evidence that AtGABA-T belongs to the class III aminotransferase family. Structural analyses revealed that AtGABA-T recognizes GABA through a C-terminal arginine residue, in contrast to the N-terminal arginine employed by mammalian and bacterial GABA aminotransferases. Despite this difference in substrate recognition, AtGABA-T retains the conserved PLP-dependent fold characteristic of aminotransferases.
Together, these findings provide a structural basis for the distinctive mode of GABA recognition in AtGABA-T. Comparative analysis further suggests that representative plant POP2 homologs examined here share this class III-type residue arrangement, and that a similar C-terminal arginine arrangement is also conserved in representative bacterial class III aminotransferases identified by Foldseek.
Supporting information
PDB reference: GABA aminotransferase from Arabidopsis thaliana, 21ft
Supplementary Figures. DOI: https://doi.org/10.1107/S2053230X26003456/no5216sup1.pdf
Acknowledgements
This work was performed using synchrotron beamlines BL44XU at SPring-8, Harima, Japan under the Collaborative Research Program of Institute for Protein Research, Osaka University (Proposal Nos. 2023A6821, 2023B6821, 2024A6921, 2024B6921, 2025A6518 and 2025B6518) and BL-1A at Photon Factory, Tsukuba, Japan under the approval of the Photon Factory Program Advisory Committee (Proposal No. 2025G144). The authors thank the beamline scientists Keisuke Sakurai and Eiki Yamashita at BL44XU, SPring-8 and Naohiro Matsugaki at BL-1A, Photon Factory.
Conflict of interest
The authors declare that they have no conflicts of interest with the content of this article.
Funding information
This work was partly supported by the Japanese Vitamin B Research Committee (KN).
References
Abramson, J., Adler, J., Dunger, J., Evans, R., Green, T., Pritzel, A., Ronneberger, O., Willmore, L., Ballard, A. J., Bambrick, J., Bodenstein, S. W., Evans, D. A., Hung, C.-C., O'Neill, M., Reiman, D., Tunyasuvunakool, K., Wu, Z., Žemgulytė, A., Arvaniti, E., Beattie, C., Bertolli, O., Bridgland, A., Cherepanov, A., Congreve, M., Cowen-Rivers, A. I., Cowie, A., Figurnov, M., Fuchs, F. B., Gladman, H., Jain, R., Khan, Y. A., Low, C. M. R., Perlin, K., Potapenko, A., Savy, P., Singh, S., Stecula, A., Thillaisundaram, A., Tong, C., Yakneen, S., Zhong, E. D., Zielinski, M., Žídek, A., Bapst, V., Kohli, P., Jaderberg, M., Hassabis, D. & Jumper, J. M. (2024). Nature, 630, 493–500. Web of Science CrossRef CAS PubMed Google Scholar
Afonine, P. V., Grosse-Kunstleve, R. W., Echols, N., Headd, J. J., Moriarty, N. W., Mustyakimov, M., Terwilliger, T. C., Urzhumtsev, A., Zwart, P. H. & Adams, P. D. (2012). Acta Cryst. D68, 352–367. Web of Science CrossRef CAS IUCr Journals Google Scholar
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
Börner, T., Rämisch, S., Reddem, E., Bartsch, S., Vogel, A., Thunnissen, A. W. H., Adlercreutz, P. & Grey, C. (2017). ACS Catal. 7, 1259–1269. Google Scholar
Bruce, H., Nguyen Tuan, A., Mangas Sánchez, J., Leese, C., Hopwood, J., Hyde, R., Hart, S., Turkenburg, J. P. & Grogan, G. (2012). Acta Cryst. F68, 1175–1180. Web of Science CrossRef IUCr Journals Google Scholar
Clark, S. M., Di Leo, R., Dhanoa, P. K., Van Cauwenberghe, O. R., Mullen, R. T. & Shelp, B. J. (2009). J. Exp. Bot. 60, 1743–1757. Web of Science CrossRef PubMed CAS Google Scholar
Emsley, P. & Cowtan, K. (2004). Acta Cryst. D60, 2126–2132. Web of Science CrossRef CAS IUCr Journals Google Scholar
Fait, A., Fromm, H., Walter, D., Galili, G. & Fernie, A. R. (2008). Trends Plant Sci. 13, 14–19. Web of Science CrossRef PubMed CAS Google Scholar
Han, S.-W., Kim, J., Cho, H.-S. & Shin, J.-S. (2017). ACS Catal. 7, 3752–3762. Web of Science CrossRef CAS Google Scholar
Hong, J. & Kim, K.-J. (2019). Biochem. Biophys. Res. Commun. 514, 601–606. Web of Science CrossRef CAS PubMed Google Scholar
Kabsch, W. (2010). Acta Cryst. D66, 125–132. Web of Science CrossRef CAS IUCr Journals Google Scholar
Koper, K., Han, S.-W., Kothadia, R., Salamon, H., Yoshikuni, Y. & Maeda, H. A. (2024). Proc. Natl Acad. Sci. USA, 121, e2405524121. Web of Science CrossRef PubMed Google Scholar
Koper, K., Han, S.-W., Pastor, D. C., Yoshikuni, Y. & Maeda, H. A. (2022). J. Biol. Chem. 298, 102122. Web of Science CrossRef PubMed Google Scholar
Kwon, S., Lee, J. H., Kim, C. M., Jang, H., Yun, H., Jeon, J. H., So, I. & Park, H. H. (2019). Sci. Rep. 9, 6958. Web of Science CrossRef PubMed Google Scholar
Liebschner, D., Afonine, P. V., Baker, M. L., Bunkóczi, G., Chen, V. B., Croll, T. I., Hintze, B., Hung, L.-W., Jain, S., McCoy, A. J., Moriarty, N. W., Oeffner, R. D., Poon, B. K., Prisant, M. G., Read, R. J., Richardson, J. S., Richardson, D. C., Sammito, M. D., Sobolev, O. V., Stockwell, D. H., Terwilliger, T. C., Urzhumtsev, A. G., Videau, L. L., Williams, C. J. & Adams, P. D. (2019). Acta Cryst. D75, 861–877. Web of Science CrossRef IUCr Journals Google Scholar
Liebschner, D., Afonine, P. V., Moriarty, N. W., Poon, B. K., Sobolev, O. V., Terwilliger, T. C. & Adams, P. D. (2017). Acta Cryst. D73, 148–157. Web of Science CrossRef IUCr Journals Google Scholar
Murshudov, G. N., Skubák, P., Lebedev, A. A., Pannu, N. S., Steiner, R. A., Nicholls, R. A., Winn, M. D., Long, F. & Vagin, A. A. (2011). Acta Cryst. D67, 355–367. Web of Science CrossRef CAS IUCr Journals Google Scholar
Palacio, C. M., Rozeboom, H. J., Lanfranchi, E., Meng, Q., Otzen, M. & Janssen, D. B. (2019). FEBS J. 286, 4086–4102. Web of Science CrossRef CAS PubMed Google Scholar
Palanivelu, R., Brass, L., Edlund, A. F. & Preuss, D. (2003). Cell, 114, 47–59. Web of Science CrossRef PubMed CAS Google Scholar
Renault, H., Roussel, V., El Amrani, A., Arzel, M., Renault, D., Bouchereau, A. & Deleu, C. (2010). BMC Plant Biol. 10, 20. Google Scholar
Planchestainer, M., Hegarty, E., Heckmann, C. M., Gourlay, L. J. & Paradisi, F. (2019). Chem. Sci. 10, 5952–5958. Web of Science CrossRef CAS PubMed Google Scholar
Rausch, C., Lerchner, A., Schiefner, A. & Skerra, A. (2013). Proteins, 81, 774–787. Web of Science CrossRef CAS PubMed Google Scholar
Roura Padrosa, D., Alaux, R., Smith, P., Dreveny, I., López-Gallego, F. & Paradisi, F. (2019). Front. Bioeng. Biotechnol. 7, 282. Web of Science CrossRef PubMed Google Scholar
Sano, K., Nakasato, S., Nagata, K. & Kobata, K. (2023). Biochem. Biophys. Res. Commun. 680, 86–92. Web of Science CrossRef CAS PubMed Google Scholar
Sievers, F., Wilm, A., Dineen, D., Gibson, T. J., Karplus, K., Li, W., Lopez, R., McWilliam, H., Remmert, M., Söding, J., Thompson, J. D. & Higgins, D. G. (2011). Mol. Syst. Biol. 7, 539. Web of Science CrossRef PubMed Google Scholar
Vagin, A. & Teplyakov, A. (1997). J. Appl. Cryst. 30, 1022–1025. Web of Science CrossRef CAS IUCr Journals Google Scholar
van Kempen, M., Kim, S. S., Tumescheit, C., Mirdita, M., Lee, J., Gilchrist, C. L. M., Söding, J. & Steinegger, M. (2024). Nat. Biotechnol. 42, 243–246. Web of Science CrossRef CAS 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.

journal menu
access



