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Deciphering the structure of a multi-drug resistant Acinetobacter baumannii short-chain dehydrogenase reductase

Abstract

The rapidly increasing threat of multi-drug-resistant Acinetobacter baumannii infections globally, encompassing a range of clinical manifestations from skin and soft tissue infections to life-threatening conditions like meningitis and pneumonia, underscores an urgent need for novel therapeutic strategies. These infections, prevalent in both hospital and community settings, present a formidable challenge to the healthcare system due to the bacterium’s widespread nature and dwindling effective treatment options. Against this backdrop, the exploration of bacterial short-chain dehydrogenase reductases (SDRs) emerges as a promising avenue. These enzymes play pivotal roles in various critical bacterial processes, including fatty acid synthesis, homeostasis, metabolism, and contributing to drug resistance mechanisms. In this study, we present the first examination of the X-ray crystallographic structure of an uncharacterized SDR enzyme from A. baumannii. The tertiary structure of this SDR is distinguished by a central parallel β-sheet, consisting of seven strands, which is flanked by eight α-helices. This configuration exhibits structural parallels with other enzymes in the SDR family, underscoring a conserved architectural theme within this enzyme class. Despite the current ambiguity regarding the enzyme’s natural substrate, the importance of many SDR enzymes as targets in anti-bacterial agent design is well-established. Therefore, the detailed structural insights provided in this study open new pathways for the in-silico design of therapeutic agents. By offering a structural blueprint, our findings may provide a platform for future research aimed at developing targeted treatments against this and other multi-drug-resistant infections.

Introduction

Acinetobacter baumannii is an opportunistic Gram-negative pathogen and major cause of nosocomial infections worldwide [1,2]. The Acinetobacter genus comprise more than 50 species to date [3], with members such as A. baumannii, A. pittii, A. nosocomialis, A. seifertii and A. dijkshoorniae causing human disease [4]. A. baumannii, the most serious cause of problematic nosocomial infections, is an “ESKAPE” pathogen (which include Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species [5]), and carries antimicrobial resistance genes that make treatment options challenging [6]. In recent years concerns have been raised due to the significant morbidity and mortality of patients infected with multi-drug-resistant A. baumannii, and the high prevalence of this pathogen especially in hospital settings [79]. To date, A. baumannii, an invasive pathogen, has been reported to be responsible for hospital-acquired infections, especially in intensive care unit (ICU) patients [10,11]. Antibiotic resistance is a major challenge among A. baumannii strains, and has been categorized as a global threat by the World Health Organization and Centers for Disease Control and Prevention [12,13]. In addition to antibiotic resistance, A. baumannii with its highly adaptive nature, utilizes different virulence factors that allows the bacteria to make biofilms, adhere to surfaces, escape host immunity, and survive in the environment [14,15]. Moreover, intrinsic antibiotic resistance and acquired resistance via mutations and horizontal gene transfer in A. baumannii are responsible for developing multidrug resistance to beta-lactams, aminoglycosides, fluoroquinolones, tetracyclines and tigecycline, macrolides, lincosamides, and chloramphenicol [16,17]. Aminoglycosides, which are effective against many gram-negative infections, are largely unsuccessful in treating A. baumannii infections [18]. Moreover, aminoglycoside modifying enzymes (AMEs), including phosphotransferases, adenyltransferases, and acetyltransferases are considered to be a significant cause of aminoglycosides resistance in A. baumannii [19].

Short-chain dehydrogenases/reductases (SDR) play a variety of roles in metabolism, including those related to fatty acids, sugar, and hormone ligand levels, transcriptional control, and apoptosis [20]. A wide range of essential biological processes in prokaryotes are also carried out by members of SDRs such as fatty acid synthesis, homeostasis, lipid metabolic process, intermediate metabolism, and bacterial drug resistance [2123]. Substrates for SDR enzymes vary considerably ranging from xenobiotics as well as alcohols, sugars, steroids, and aromatic molecules, and often these enzymes share little sequence similarity. However, their structure is often highly conserved, and harbour a classic Rossman fold domain with a core β-sheet, flanked by α-helices. They contain tyrosine, lysine, serine, and/or asparagine residues at the active site [24,25], where tyrosine serves as the catalytic base, serine assists with substrate stabilization, and lysine interacts with the nicotinamide ribose of the cofactor NAD(P) [26]. The N-terminal region of SDRs are generally more highly conserved than the C-terminal region, a reflection that co-factor binding occurs within the N-terminal domain, while the substrate binding occurs within the C-terminal domain [27]. SDRs are considered as a crucial factor in E. coli, P. aeruginosa, S. aureus, S. typhimurium, M. tuberculosis, and in A. baumannii [28]. As the only enzyme able to carry out the reduction of β-ketoacyl ACP into β-hydroacyl ACP thioesters, FabG enzymes are desirable targets for the development of novel inhibitors against gram negative bacteria, including A. baumannii [29]. Moreover, many SDR enzymes have shown potential as pharmaceutical targets for hormone-related and metabolic diseases including obesity and diabetes, and infectious diseases [30,31]. Due to the importance of SDR enzymes in prokaryote function, and the urgent and critical need to develop new antibacterial agents, in this study we present the structure of an SDR enzyme from A. baumannii that may be used as a basis for in silico design and testing of therapeutic agents. Our study is significant as it unveils the first-ever structure of a previously uncharacterized SDR from A. baumannii. The delineation the enzyme’s structure may be useful in docking both potential substrates as well as inhibitors for in silico drug development. Should this SDR enzyme prove vital in A. baumannii’s function or antibiotic resistance, our structural work will provide an important platform for potential therapeutic strategies that could tackle antibiotic resistance in A. baumannii infections.

Material and methods

Cloning and protein expression

The A. baumannii SDR nucleotide sequence (UniProt accession number: A0A0D5YL95) was cloned into the expression vector pMCSG21 at the SspI site [32]. The full protein sequence, including the His tag (green) and TEV cleavage site (red) is:

MHHHHHHSSGVDLGTENLYFQ/SNAMKLDLQNKIAVVSGSTSGIGLGIAKGLASAGATVVVVGRKQAGVDEAIAHIRQSVPEASLRGVDADLTTEQGAAALFAAEPKADILVNNLGIFNDEDFFSVPDEEWMRFYQVNVLSGVRLARHYAPSMVEQGWGRIIFISSESGVAIPGDMINYGVTKSANLAVSHGLAKRLAGTGVTVNAVLPGPTFTDGLENMLADAAAKAGRSTRDQADEFVKVLRPSSIIQRAAEVDEVANMVVYIASPLSSATSGAALRVDGGVVDTLV. To produce recombinant protein, the expression vector harbouring an N-terminal HIS affinity tag and (Tobacco Etch Virus) TEV cleavage site was transformed into competent E. coli BL21(DE3) pLysS cells. A starter culture of 5 mL of LB broth was incubated at 37°C overnight, from which 100 μL was added to 1 L of auto-induction media, and incubated at room temperature for 36 h. Cells were harvested by centrifugation and resuspended in ‘Buffer A’ containing 20 mM imidazole, 300 mM NaCl, 50 mM phosphate buffer pH 8.0, and stored at -20°C until protein purification.

Protein purification and crystallization

The SDR enzyme was purified by lysing the bacterial cell membrane via two freeze–thaw cycles and addition of 2 mg/mL lysozyme and 0.025 mg/mL DNAse. The lysate was clarified via centrifugation and passed over a 5 mL Nickel-Sepharose HisTrap HP column (GE Healthcare). The column was washed with 10-column volumes of Buffer A to remove unbound contaminants, and the SDR enzyme eluted using a gradient of elution ’Buffer B’ (50 mM phosphate buffer pH 8.0, 300 mM NaCl, and 500 mM imidazole) over 5-column volumes. The eluate was treated with TEV protease to remove the affinity tag, then further purified using a Superdex 200 26/60 column (GE Healthcare) in tris-buffered saline (50 mM Tris pH 8.0, 125 mM NaCl). The homogenous peak from gel filtration was collected and concentrated using a 10 kDa MW centrifugal filter (Amicon/Millipore) and all samples were assessed for purity by SDS-PAGE.

Crystallization was performed in 48-well plates using the hanging-drop vapour diffusion method and sparse matrix screen Hampton I and II, molecular dimensions Proplex and Pact screens and incubated at 23°C for a period of four days. The SDR protein was concentrated to 9.7 mg/ml, and screened by combining 1.5 μL of protein and 1.5 μL of precipitant solution over 300 μL of reservoir solution. Crystals formed in 0.2 M lithium sulphate monohydrate, 0.1 M TRIS hydrochloride pH 8.5, and 30% (v/v) polyethylene glycol 8,000, cryogenically preserved in 15% glycerol.

Data collection, structure determination and refinement

X-ray diffraction data was collected at the MX2 beamline at the Australian Synchrotron. Data was indexed and integrated using iMosflm [33] and scaled and reduced in Aimless [34]. Phases were solved by molecular replacement in Phaser [35] and model building and refinement performed in Coot [36] and Phenix [37]. PDBsum was used to investigate the macromolecular structures and interactions.

Results and discussion

Expression, purification, and crystallization of an SDR from Acinetobacter baumannii

Acinetobacter baumannii is a multi-drug resistant and medically important bacterium. The protein investigated in this study is a short chain dehydrogenase (NCBI Reference Sequence WP_057046512.1; Uniprot A0A7U4DHS9; KEEG AB57_2576), and the structure has not been determined. Since the closest known protein structure exhibits <50% sequence identity, we determined the structure to expand the potential number of drug targets for in silico drug design and modelling. Crystals diffracting to 2.5 Å (see Table 1 for data collection and refinement statistics) were indexed in P 6422, and phases solved by molecular replacement using a monomer of an SDR enzyme from Bacillus anthracis (PDB: 3T4X), whose sequence was 44% similar to the SDR in this study. A final structural model was refined to R-work of 24.9% and an R-free of 26.5%, and has been deposited to the Protein Data Bank and issued the code 8G9M.

Structural analysis of Acinetobacter baumannii SDR

The enzyme exhibited all the structural features of a typical SDR family member. The protomeric unit was comprised of a central seven-stranded parallel β-sheet, sandwiched between two groups of α helices (α1, α2, α7, α8 on one face, and α3, α4, α5, α6 on the other face), with an overall topology of β1-α1-β2-α2-β3-α3-β4-α4-α5-β5-α6-β6-α7-α8 (Fig 1).

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Fig 1. Secondary and tertiary structural elements of the an Acinetobacter baumannii SDR.

The α-helices are labelled in cyan, β-strands in purple, and loops in light brown. A. Stereo-view of the tertiary structure. B. The tertiary structure of the enzyme shown in cartoon mode, highlighting a central seven-stranded parallel β-sheet, sandwiched between two groups of α helices. C. Topology diagram with colouring matched to A. Helices α1, α2, α7, α8 are on one face and bold, and α3, α4, α5, α6 on the other face with dashed lines. D. Sequence of the SDR with aligned secondary structural elements, and colouring as per A and B.

https://doi.org/10.1371/journal.pone.0297751.g001

While the asymmetric unit contained a single protomer, analysis of the structure in Proteins, Interfaces, Structures and Assemblies (PISA) [38,39] revealed a tetramer, that was consistent with other SDR enzymes. This tetramer was mediated by two types of interfaces, labelled as A/B, A/C (Fig 2 and S1 Table). The A/B interface was mediated by 8 hydrogen bonds and 112 non-bonded contacts, 22 interfacing residues, and buried 1,243Å2 of surface area (S1 Table). Key interactions include Lys2 bonding with Asp4 and Asn235; Glu232 bonding with Ser246; and Thr248 bonding with Arg254 (S1 Table). The A/C interface was mediated by 8 hydrogen bonds, 6 salt bridges, 167 non-bonded contacts, 27 interacting residues, and 1,580Å2 of buried surface area. Key interactions include Asp97 bonding Arg171; and Asp103 bonding with Arg122 and Arg119.

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Fig 2. Acinetobacter baumannii SDR forms a tetramer.

A) Cartoon of the Acinetobacter baumannii SDR biological tetramer. Each protomer is labelled A-D and coloured separately B) Structural comparison showing the same tetrameric complex in the SDR family oxidoreductase from Bacillus anthracis with 45% sequence similarity and 1.1 Å rmsd. C) Overlay of the two SDR enzymes.

https://doi.org/10.1371/journal.pone.0297751.g002

Since the structure of this A. baumannii SDR has not been studied previously, we used BLAST and DALI to identify similar proteins with sequence and structural similarity respectively. In terms of sequence identity, the closest homologue was an SDR family oxidoreductase from Acinetobacter pittii, with 82% sequence identity, followed by Acinetobacter nosocomialis and Acinetobacter oleivorans, both sharing 81% sequence identity. The most closely related structural protein that has been solved to date is that of an SDR family oxidoreductase from Bacillus anthracis with 44% sequence similarity (1.1 Å rmsd) (Fig 3) (PDB code: 3T4X; unpublished, 2.80Å), and the L-sorbose oxidoreductase complexed with NADPH and L-Sorbose from Gluconobacter frateurii with PDB codes of 3AI1, 3AI2 and 3AI3 with resolutions of 2.38Å, 1.90Å and 1.80Å, respectively, (1.5 Å rmsd; sequence identity 35%), all of which formed the same tetrameric complex [40]. Whilst many SDRs are tetrameric and exhibit the same structural state as reported in this study, the biological importance of tetramerization is not fully understood. Indeed, that many SDRs exist as dimers, implies that tetramerization is not crucial for enzymatic function. For example, FabG enzymes from Vibrio cholerae, Staphylococcus aureus and Mycobacterium tuberculosis function as dimer [4143], while the homologous enzyme from E. coli and P. falciparum functions as a tetramer [44,45]. Significantly, these interfaces have been targets for drug design [46].

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Fig 3. Alignment of the Acinetobacter baumannii SDR with the two structurally related SDR enzymes from the DALI search.

A) Sequence alignment based on the Acinetobacter baumannii SDR from this study (red), an SDR family oxidoreductase from Bacillus anthracis with 45% sequence similarity (1.1 Å rmsd) (PDB code: 3T4X; unpublished; blue), and the oxidoreductase from Gluconobacter frateurii 3AI1 (1.5 Å rmsd; sequence identity 35%). B) Alignment of active site residues with colouring as per panel A.

https://doi.org/10.1371/journal.pone.0297751.g003

The high-resolution structure of the SDR from Acinetobacter baumannii described here may provide valuable insights for drug design, and echo the success seen with other SDRs targeted in pharmaceutical research. The detailed structural information can enable precise target identification and validation, a critical step as seen in the development of drugs targeting similar enzymes. With the clear delineation of active sites and binding pockets, rational drug design based on structure-based techniques such as molecular docking can predict how potential inhibitors might interact with the enzyme, a strategy that has proven effective in designing inhibitors for other SDRs [47]. The high resolution of the A. baumannii SDR structure may aid in designing drugs with high selectivity and specificity, mirroring the approach taken for other bacterial and human SDRs, where specificity is crucial to minimize off-target effects. This aspect is particularly relevant, as the study of other SDRs has shown how subtle structural differences can be exploited to develop highly selective inhibitors [48,49]. Moreover, the structure may also prove useful for identification of putative substrates through molecular docking [50].

Conclusion

In this study, we have elucidated the structure of a specific Short-chain Dehydrogenase/Reductase (SDR) from A. baumannii. Our findings reveal that this SDR retains classical structural features characteristic of SDRs, particularly in its active site residues. A comparative structural analysis with other protein structures in the Protein Data Bank demonstrates this enzyme’s striking similarity to an L-sorbose SDR. This finding highlights the imperative for more detailed research to precisely determine the enzyme’s substrate and to explore its role in the metabolic pathways of A. baumannii. This exploration is crucial, not only for understanding the enzyme’s function but also for evaluating its viability as a potential target in drug development. The structural insights gained from our study provide a strong platform for assessing the enzyme’s relevance, particularly in the context of drug development. Should further research establish a central role for this SDR in A. baumannii’s survival or antibiotic resistance mechanisms, our study provides a critical foundation for the design of new drugs using computational methods. These advancements hold significant potential for addressing the growing challenge of antibiotic resistance in A. baumannii infections.

Supporting information

S1 Table. Bonds within the A/B and A/C interface.

A list of hydrogen bonded and non-hydrogen bonded contacts between the protein-protein interfaces.

https://doi.org/10.1371/journal.pone.0297751.s001

(DOCX)

Acknowledgments

Karli Shaw and Kate Smith are thanked for their assistance with data collection and supervision of the project respectively.

References

  1. 1. Ibrahim S, Al-Saryi N, Al-Kadmy I, Aziz SN. Multidrug-resistant Acinetobacter baumannii as an emerging concern in hospitals. Molecular biology reports. 2021;48(10):6987–98. pmid:34460060
  2. 2. Vázquez-López R, Solano-Gálvez SG, Juárez Vignon-Whaley JJ, Abello Vaamonde JA, Padró Alonzo LA, Rivera Reséndiz A, et al. Acinetobacter baumannii resistance: a real challenge for clinicians. Antibiotics. 2020;9(4):205. pmid:32340386
  3. 3. Morris FC, Dexter C, Kostoulias X, Uddin MI, Peleg AY. The mechanisms of disease caused by Acinetobacter baumannii. Frontiers in microbiology. 2019;10:1601. pmid:31379771
  4. 4. Asif M, Alvi IA, Rehman SU. Insight into Acinetobacter baumannii: pathogenesis, global resistance, mechanisms of resistance, treatment options, and alternative modalities. Infection and drug resistance. 2018;11:1249. pmid:30174448
  5. 5. De Oliveira DM, Forde BM, Kidd TJ, Harris PN, Schembri MA, Beatson SA, et al. Antimicrobial resistance in ESKAPE pathogens. Clinical microbiology reviews. 2020;33(3):e00181–19. pmid:32404435
  6. 6. Arbune M, Gurau G, Niculet E, Iancu AV, Lupasteanu G, Fotea S, et al. Prevalence of antibiotic resistance of ESKAPE pathogens over five years in an infectious diseases hospital from South-East of Romania. Infection and Drug Resistance. 2021;14:2369. pmid:34194233
  7. 7. Kurihara MNL, Sales ROd, Silva KEd, Maciel WG, Simionatto S. Multidrug-resistant Acinetobacter baumannii outbreaks: a global problem in healthcare settings. Revista da Sociedade Brasileira de Medicina Tropical. 2020;53. pmid:33174956
  8. 8. Kyriakidis I, Vasileiou E, Pana ZD, Tragiannidis A. Acinetobacter baumannii antibiotic resistance mechanisms. Pathogens. 2021;10(3):373.
  9. 9. Chandra P, CS S, MK U. Multidrug-resistant Acinetobacter baumannii infections: looming threat in the Indian clinical setting. Expert Review of Anti-infective Therapy. 2022;20(5):721–32. pmid:34878345
  10. 10. Ma C, McClean S. Mapping global prevalence of Acinetobacter baumannii and recent vaccine development to tackle it. Vaccines. 2021;9(6):570. pmid:34205838
  11. 11. Russo A, Gavaruzzi F, Ceccarelli G, Borrazzo C, Oliva A, Alessandri F, et al. Multidrug-resistant Acinetobacter baumannii infections in COVID-19 patients hospitalized in intensive care unit. Infection. 2022;50(1):83–92. pmid:34176088
  12. 12. Williams CL, Neu HM, Alamneh YA, Reddinger RM, Jacobs AC, Singh S, et al. Characterization of Acinetobacter baumannii Copper Resistance Reveals a Role in Virulence. Frontiers in microbiology. 2020;11:16. pmid:32117089
  13. 13. Whiteway C, Breine A, Philippe C, Van der Henst C. Acinetobacter baumannii. Trends in Microbiology. 2022.
  14. 14. Mea HJ, Yong PVC, Wong EH. An overview of Acinetobacter baumannii pathogenesis: Motility, adherence and biofilm formation. Microbiological research. 2021;247:126722. pmid:33618061
  15. 15. Kumar S, Anwer R, Azzi A. Virulence potential and treatment options of multidrug-resistant (mdr) Acinetobacter baumannii. Microorganisms. 2021;9(10):2104. pmid:34683425
  16. 16. Hamidian M, Nigro SJ. Emergence, molecular mechanisms and global spread of carbapenem-resistant Acinetobacter baumannii. Microbial genomics. 2019;5(10). pmid:31599224
  17. 17. Lupo A, Haenni M, Madec J-Y. Antimicrobial resistance in Acinetobacter spp. and Pseudomonas spp. Microbiology spectrum. 2018;6(3):6.3. 01.
  18. 18. Karakonstantis S, Kritsotakis EI, Gikas A. Treatment options for K. pneumoniae, P. aeruginosa and A. baumannii co-resistant to carbapenems, aminoglycosides, polymyxins and tigecycline: an approach based on the mechanisms of resistance to carbapenems. Infection. 2020;48(6):835–51. pmid:32875545
  19. 19. Kishk R, Soliman N, Nemr N, Eldesouki R, Mahrous N, Gobouri A, et al. Prevalence of aminoglycoside resistance and aminoglycoside modifying enzymes in Acinetobacter baumannii among intensive care unit patients, Ismailia, Egypt. Infection and Drug Resistance. 2021;14:143. pmid:33519215
  20. 20. Kallberg Y, Oppermann U, Jörnvall H, Persson B. Short‐chain dehydrogenases/reductases (SDRs) Coenzyme‐based functional assignments in completed genomes. European Journal of Biochemistry. 2002;269(18):4409–17.
  21. 21. Bhargavi G, Hassan S, Balaji S, Tripathy SP, Palaniyandi K. Protein–protein interaction of Rv0148 with Htdy and its predicted role towards drug resistance in Mycobacterium tuberculosis. BMC microbiology. 2020;20(1):1–15.
  22. 22. Bhargavi G, Singh AK, Patil SA, Palaniyandi K. A putative short-chain dehydrogenase Rv0148 of Mycobacterium tuberculosis affects bacterial survival and virulence. Current Research in Microbial Sciences. 2022;3:100113. pmid:35243448
  23. 23. Zhang S, Xie L, Zheng S, Lu B, Tao W, Wang X, et al. Identification, expression and evolution of short-chain dehydrogenases/reductases in nile tilapia (Oreochromis niloticus). International journal of molecular sciences. 2021;22(8):4201. pmid:33919636
  24. 24. Zhang Y-M, Rock CO. Evaluation of epigallocatechin gallate and related plant polyphenols as inhibitors of the FabG and FabI reductases of bacterial type II fatty-acid synthase. Journal of Biological Chemistry. 2004;279(30):30994–1001. pmid:15133034
  25. 25. Tanaka N, Aoki K-i, Ishikura S, Nagano M, Imamura Y, Hara A, et al. Molecular basis for peroxisomal localization of tetrameric carbonyl reductase. Structure. 2008;16(3):388–97. pmid:18334214
  26. 26. Nguyen GT, Kim S, Jin H, Cho D-H, Chun H-S, Kim W-K, et al. Crystal Structure of NADPH-Dependent Methylglyoxal Reductase Gre2 from Candida Albicans. Crystals. 2019;9(9):471.
  27. 27. Cross EM, Aragão D, Smith KM, Shaw KI, Nanson JD, Raidal SR, et al. Structural characterization of a short-chain dehydrogenase/reductase from multi-drug resistant Acinetobacter baumannii. Biochemical and biophysical research communications. 2019;518(3):465–71. pmid:31443964
  28. 28. Vella P, Rudraraju RS, Lundbäck T, Axelsson H, Almqvist H, Vallin M, et al. A FabG inhibitor targeting an allosteric binding site inhibits several orthologs from Gram-negative ESKAPE pathogens. Bioorganic & Medicinal Chemistry. 2021;30:115898.
  29. 29. Yao J, Rock CO. Bacterial fatty acid metabolism in modern antibiotic discovery. Biochimica et Biophysica Acta (BBA)-Molecular and Cell Biology of Lipids. 2017;1862(11):1300–9. pmid:27668701
  30. 30. Oppermann U, Filling C, Hult M, Shafqat N, Wu X, Lindh M, et al. Short-chain dehydrogenases/reductases (SDR): the 2002 update. Chemico-biological interactions. 2003;143:247–53. pmid:12604210
  31. 31. Beck KR, Kaserer T, Schuster D, Odermatt A. Virtual screening applications in short-chain dehydrogenase/reductase research. The Journal of steroid biochemistry and molecular biology. 2017;171:157–77. pmid:28286207
  32. 32. Smith KM, Himiari Z, Tsimbalyuk S, Forwood JK. Structural Basis for Importin-alpha Binding of the Human Immunodeficiency Virus Tat. Sci Rep. 2017;7(1):1650.
  33. 33. Battye TG, Kontogiannis L, Johnson O, Powell HR, Leslie AG. iMOSFLM: a new graphical interface for diffraction-image processing with MOSFLM. Acta Crystallogr D Biol Crystallogr. 2011;67(Pt 4):271–81. pmid:21460445
  34. 34. Evans PR, Murshudov GN. How good are my data and what is the resolution? Acta Crystallogr D Biol Crystallogr. 2013;69(Pt 7):1204–14. pmid:23793146
  35. 35. McCoy AJ, Grosse-Kunstleve RW, Adams PD, Winn MD, Storoni LC, Read RJ. Phaser crystallographic software. J Appl Crystallogr. 2007;40(Pt 4):658–74. pmid:19461840
  36. 36. Emsley P, Cowtan K. Coot: model-building tools for molecular graphics. Acta Crystallogr D Biol Crystallogr. 2004;60(Pt 12 Pt 1):2126–32. pmid:15572765
  37. 37. Adams PD, Afonine PV, Bunkoczi G, Chen VB, Echols N, Headd JJ, et al. The Phenix software for automated determination of macromolecular structures. Methods. 2011;55(1):94–106. pmid:21821126
  38. 38. Protein interfaces, surfaces and assemblies’ service PISA at the European Bioinformatics Institute [Available from: http://www.ebi.ac.uk/pdbe/prot_int/pistart.html.
  39. 39. Krissinel E, Henrick K. Inference of macromolecular assemblies from crystalline state. Journal of molecular biology. 2007;372(3):774–97. pmid:17681537
  40. 40. Kubota K, Nagata K, Okai M, Miyazono K-i, Soemphol W, Ohtsuka J, et al. The crystal structure of L-sorbose reductase from gluconobacter frateurii complexed with NADPH and L-sorbose. Journal of molecular biology. 2011;407(4):543–55. pmid:21277857
  41. 41. Cohen-Gonsaud M, Ducasse S, Hoh F, Zerbib D, Labesse G, Quemard A. Crystal structure of MabA from Mycobacterium tuberculosis, a reductase involved in long-chain fatty acid biosynthesis. J Mol Biol. 2002;320(2):249–61. pmid:12079383
  42. 42. Dutta D, Bhattacharyya S, Roychowdhury A, Biswas R, Das AK. Crystal structure of hexanoyl-CoA bound to β-ketoacyl reductase FabG4 of Mycobacterium tuberculosis. Biochemical Journal. 2013;450(1):127–39.
  43. 43. Hou J, Zheng H, Chruszcz M, Zimmerman MD, Shumilin IA, Osinski T, et al. Dissecting the Structural Elements for the Activation of beta-Ketoacyl-(Acyl Carrier Protein) Reductase from Vibrio cholerae. J Bacteriol. 2016;198(3):463–76.
  44. 44. Karmodiya K, Surolia N. Analyses of co-operative transitions in Plasmodium falciparum beta-ketoacyl acyl carrier protein reductase upon co-factor and acyl carrier protein binding. FEBS J. 2006;273(17):4093–103. pmid:16934037
  45. 45. Price AC, Zhang YM, Rock CO, White SW. Structure of beta-ketoacyl-[acyl carrier protein] reductase from Escherichia coli: negative cooperativity and its structural basis. Biochemistry. 2001;40(43):12772–81. pmid:11669613
  46. 46. Cukier CD, Hope AG, Elamin AA, Moynie L, Schnell R, Schach S, et al. Discovery of an allosteric inhibitor binding site in 3-Oxo-acyl-ACP reductase from Pseudomonas aeruginosa. ACS Chem Biol. 2013;8(11):2518–27. pmid:24015914
  47. 47. Gosavi G, Jade D, Ponnambalam S, Harrison MA, Zhou H. In-silico prediction, characterization, molecular docking and dynamic simulation studies for screening potential fungicides against leaf rust of Triticum aestivum. J Biomol Struct Dyn. 2023:1–13. pmid:37668008
  48. 48. Beck KR, Kaserer T, Schuster D, Odermatt A. Virtual screening applications in short-chain dehydrogenase/reductase research. J Steroid Biochem Mol Biol. 2017;171:157–77. pmid:28286207
  49. 49. Luniwal A, Wang L, Pavlovsky A, Erhardt PW, Viola RE. Molecular docking and enzymatic evaluation to identify selective inhibitors of aspartate semialdehyde dehydrogenase. Bioorg Med Chem. 2012;20(9):2950–6. pmid:22464683
  50. 50. Favia AD, Nobeli I, Glaser F, Thornton JM. Molecular docking for substrate identification: the short-chain dehydrogenases/reductases. J Mol Biol. 2008;375(3):855–74. pmid:18036612