Exploring the structural aspects of alanine racemase enzyme for antitubercular drug discovery – a computational approach

Authors

  • Unni Jayaram Department of Pharmaceutical Chemistry, Caritas College of Pharmacy, Ettumanoor – 686 631, Kerala, India
  • Parthan Anilkumar Department of Pharmaceutical Chemistry, Caritas College of Pharmacy, Ettumanoor – 686 631, Kerala, India
  • Fathima Rifana Yousuf Department of Pharmaceutical Chemistry, Caritas College of Pharmacy, Ettumanoor – 686 631, Kerala, India
  • Graceson Jose Department of Pharmaceutical Chemistry, Caritas College of Pharmacy, Ettumanoor – 686 631, Kerala, India

DOI:

https://doi.org/10.69857/joapr.v13i1.783

Keywords:

Alanine racemase, Tuberculosis, Mycobacterium tuberculosis, Protein crystal structure, Antitubercular agents

Abstract

Background: Tuberculosis (TB) is a communicable disease that is a significant cause of ill health and one of the leading causes of death worldwide. The current antibiotics have been pivotal in managing TB to a greater extent. Still, the issue of antitubercular drug resistance is indeed a matter of concern and requires effective drug discovery strategies targeting less explored targets. One of the less explored but promising antitubercular targets, Alanine racemase (AlaR), a prokaryotic enzyme providing the essential peptidoglycan precursor D-alanine (D-Ala) in bacterial cell wall synthesis, is an attractive target for antitubercular drug discovery. Objective: The current study aims to explore the available protein targets of the AlaR enzyme in Mycobacterium tuberculosis and to understand the structural aspects to be followed in designing inhibitors for them. Methodology: As a part of the study, the crystal structure of the alanine racemase enzyme from Mycobacterium tuberculosis was subjected to computational studies using the Schrodinger drug design suite. The significant protocols followed involved protein preparation and fragment-based drug design studies. Results and discussion: The in-silico data suggested that substituted pteridine derivatives, which impart stable interaction at the active site of the alanine racemase enzyme, may be the potential lead moiety for drug design. Conclusion: Although the preliminary screening suggests that the pteridine ring system may be a promising lead, detailed in silico studies must be carried out, such as molecular mechanic generalized born surface area (MM-GBSA), density functional theory (DFT) studies, induced fit docking, molecular dynamics, etc. for further authentication. For effective correlation, detailed in vivo studies on AlaR enzyme inhibition can be carried out from a future perspective.

Downloads

Download data is not yet available.

References

Alsayed SSR, Gunosewoyo H. Tuberculosis: Pathogenesis, Current Treatment Regimens and New Drug Targets. Int J Mol Sci., 8, 5202 (2023). https://doi.org/10.3390/ijms24065202.

Mustansir AA, Gupta V, Addanki RND, Mannava AS, Parashar KD. A cross-sectional study to assess stigma associated with tuberculosis in patients, family members, and health care staff in central India. Indian J Tuberc., 71, S237-S244 (2024). https://doi.org/10.1016/j.ijtb.2024.04.001.

Aguilar Diaz JM, Abulfathi AA, Te Brake LH, Van Ingen J, Kuipers S, Magis-Escurra C, Raaijmakers J, Svensson EM, Boeree MJ. New and repurposed drugs for the treatment of active tuberculosis: an update for clinicians. Respiration., 102, 83-100 (2023). https://doi.org/10.1159/000528274.

Shimizu-Ibuka A, Sato A, Ichimura H, Hiraga H, Nakayama S, Nishiwaki, T. Regulation of alanine racemase activity by carboxylates and the d-type substrate d-alanine. FEBS J., 290, 2954-2967 (2023). https://doi.org/10.1111/febs.16745.

De Chiara C, Prosser GA, Ogrodowicz R, de Carvalho LPS. Structure of the D-cycloserine-resistant variant D322N of alanine racemase from Mycobacterium tuberculosis. ACS Bio Med Chem Au., 3, 233-239 (2023). https://doi.org/10.1021/acsbiomedchemau.2c00074.

Roney M, Mohd Aluwi MF. The importance of in-silico studies in drug discovery. Intell Pharm., 2, 578-579 (2024). https://doi.org/10.1016/j.ipha.2024.01.010.

Chang Y, Hawkins BA, Du JJ, Groundwater PW, Hibbs DE, Lai F. A guide to in silico drug design. Pharmaceutics., 15, 49 (2022). https://doi.org/10.3390/pharmaceutics15010049.

Alturki NA, Mashraqi MM, Alzamami A, Alghamdi YS, Alharthi AA, Asiri SA, Ahmad S, Alshamrani S. In-Silico Screening and Molecular Dynamics Simulation of Drug Bank Experimental Compounds against SARS-CoV-2. Molecules., 27, 4391 (2022). https://doi.org/10.3390/molecules27144391.

Yue K, Doherty B, Acevedo O. Comparison between Ab Initio Molecular Dynamics and OPLS-Based Force Fields for Ionic Liquid Solvent Organization. J Phys Chem B., 126, 3908-3919 (2022). https://doi.org/10.1021/acs.jpcb.2c01636.

Lokwani DK, Sarkate AP, Karnik KS, Nikalje APG, Seijas JA. Structure-Based Site of Metabolism (SOM) Prediction of Ligand for CYP3A4 Enzyme: Comparison of Glide XP and Induced Fit Docking (IFD). Molecules., 25, 1622 (2022). https://doi.org/10.3390/molecules25071622.

Lemar G, Far F. A. D. Homology Modeling of Bifunctional Enzyme Alanine Racemase from Taibaiella Chishuiensis. Biosci Biotech Res Asia., 17 (2020). https://doi.org/10.13005/bbra/2864.

Dong H, Hu T, He G, Lu D, Qi J, Dou Y, Long W, He X, Ju J, Su D. Structural features and kinetic characterization of alanine racemase from Bacillus pseudofirmus OF4. Biochem Biophys Res Commun., 497, 139-145 (2018). https://doi.org/10.1016/j.bbrc.2018.02.041.

Li Q. Application of fragment-based drug discovery to versatile targets. Front Mol Biosci., 7 (2020). https://doi.org/10.3389/fmolb.2020.00180

Published

2025-02-28

How to Cite

Jayaram, U. ., Parthan Anilkumar, Fathima Rifana Yousuf, & Graceson Jose. (2025). Exploring the structural aspects of alanine racemase enzyme for antitubercular drug discovery – a computational approach. Journal of Applied Pharmaceutical Research, 13(1), 38-48. https://doi.org/10.69857/joapr.v13i1.783

Issue

Section

Articles