Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jan 7;124(1):1.
doi: 10.1007/s00436-024-08433-5.

Exploring novel inhibitors for Babesia bigemina lactate dehydrogenase: a computational structural biology perspective

Affiliations

Exploring novel inhibitors for Babesia bigemina lactate dehydrogenase: a computational structural biology perspective

Safiye Merve Bostancioglu et al. Parasitol Res. .

Abstract

Babesia bigemina is an apicomplexan parasite responsible for causing "Texas fever" in bovines. Current treatments for bovine babesiosis are hindered by several limitations, including toxicity, insufficient efficacy in eliminating the parasite, and the potential for resistance development. A promising approach to overcome these challenges is the identification of compounds that specifically target essential metabolic pathways unique to the parasite. One such target is lactate dehydrogenase (LDH), a critical enzyme involved in the regulation of anaerobic glycolysis. Notably, Babesia bigemina LDH (BbigLDH) exhibits a five-amino acid insertion in the active site, a feature that differentiates it from the host's LDH. This structural divergence makes apicomplexan LDH an attractive and potentially selective drug target for therapeutic intervention. In this study, a structure-based drug discovery approach was implemented to find novel inhibitor candidates. Potential candidates were identified using a virtual screening workflow. The compounds with favorable docking scores were filtered using the QM-polarized ligand docking and induced fit docking methods. As a result, 20 novel compounds were identified that bind to the active site of BbigLDH but show low affinity to the host LDHs. Molecular dynamics simulations of the complexes (8.8 µs in total) were performed, and binding free energies were calculated. As a result, protein structures containing compounds C9, C16 and C18 maintained their stability throughout 1 µs simulations with low binding free energies and conserved interactions with known catalytic residues. Therefore, these three compounds deserve further investigation to better understand their mode of action and therapeutic potential for babesiosis. The results of this study elucidate the structural features of the BbigLDH enzyme and provide novel LDH binders that may pave the way for further research into the development of parasite-specific LDH inhibitors.

Keywords: Babesia bigemina; Drug discovery; Lactate dehydrogenase.

PubMed Disclaimer

Conflict of interest statement

Declarations. Competing interest: The authors declare no competing interests. Disclosure statement: No potential conflict of interest was reported by the authors. Ethical approval: Not applicable. Clinical trial number: Not applicable.

Similar articles

References

    1. Akash S, Hosen MdE, Mahmood S, Supti SJ, Kumer A, Sultana S, Jannat S, Bayıl I, Nafidi H-A, Jardan YAB, Mekonnen AB, Bourhia M (2023) Anti-parasitic drug discovery against Babesia microti by natural compounds: an extensive computational drug design approach. Front Cell Infect Microbiol 13:1222913. https://doi.org/10.3389/fcimb.2023.1222913 - DOI - PubMed - PMC
    1. Al-Anouti F, Tomavo S, Parmley S, Ananvoranich S (2004) The Expression of Lactate Dehydrogenase Is Important for the Cell Cycle of Toxoplasma gondii. J Biol Chem 279:52300–52311. https://doi.org/10.1074/jbc.M409175200 - DOI - PubMed
    1. Benkert P, Tosatto SCE, Schomburg D (2008) QMEAN: A comprehensive scoring function for model quality assessment. Proteins Struct Funct Bioinforma 71:261–277. https://doi.org/10.1002/prot.21715 - DOI
    1. Berman HM (2000) The Protein Data Bank. Nucleic Acids Res 28:235–242. https://doi.org/10.1093/nar/28.1.235 - DOI - PubMed - PMC
    1. Bochevarov AD, Harder E, Hughes TF, Greenwood JR, Braden DA, Philipp DM, Rinaldo D, Halls MD, Zhang J, Friesner RA (2013) Jaguar: A high-performance quantum chemistry software program with strengths in life and materials sciences. Int J Quantum Chem 113:2110–2142. https://doi.org/10.1002/qua.24481 - DOI

MeSH terms

LinkOut - more resources