Penicillium‐Derived Inhibitors of <i>Plasmodium falciparum</i> Lactate Dehydrogenase (PfLDH): A Computational Approach for Novel Antimalarial Therapy Development
Malaria remains a major global health challenge, necessitating the discovery of novel therapeutic agents. This study investigates secondary metabolites from <i>Penicillium</i> spp. as potential inhibitors of <i>Plasmodium falciparum</i> lactate dehydrogenase (PfLDH), a critical enzyme in the parasite's glycolytic pathway. A curated library of <i>Penicillium</i>-derived compounds underwent drug-likeness and toxicity screening, resulting in the identification of 42 viable candidates. Molecular docking simulations revealed three promising compounds-Penicilactone B, Penicillimide, and Penicillisocoumarin A-with binding affinities exceeding those of the positive controls, NADH, and pyruvate. Among these, Penicilactone B exhibited the strongest binding affinity (-8.71 kcal/mol) and the lowest inhibitory constant (414.77 nM). Molecular dynamics simulations confirmed the stability of these compounds within the PfLDH binding pocket over a 200-ns trajectory, with Penicilactone B demonstrating the most stable interactions. Off-target predictions suggested minimal interaction with human lactate dehydrogenase, indicating a potentially favorable safety profile. Penicilactone B emerged as the most promising candidate due to its molecular stability, efficient binding, and favorable solvent interactions. Penicillisocoumarin A also showed potential, supported by its pharmacokinetic properties and safety indicators. These findings highlight the potential of penicillium-derived secondary metabolites as a promising source for novel antimalarial therapies targeting PfLDH. Future research should focus on experimental validation, pharmacokinetic optimization, and efficacy testing against diverse <i>Plasmodium</i> strains.
Authors
- Imran Sama‐ae (ORCID: https://orcid.org/0000-0001-7644-5311)
- Manas Kotepui (ORCID: https://orcid.org/0000-0001-9172-3615)
- Aman Tedasen (ORCID: https://orcid.org/0000-0002-1350-1424)
- Md. Atiar Rahman (ORCID: https://orcid.org/0000-0002-4902-8923)
- Pattamaporn Kwankaew (ORCID: https://orcid.org/0000-0001-7095-801X)
- Anirut Kepan (ORCID: https://orcid.org/0000-0003-4921-6251)
- Pimthip Muengthongon
- Azeezah Tohlaeh
- Watcharaphon Rukhachan
- Pawika Kiattikul
- Fathiyah Samaeng
- Aritsara Mitklin
Institutions
- Nakhon Phanom University (TH)
- Patan Hospital (NP)
- University of Chittagong (BD)
- Walailak University (TH)
Publication Details
- Journal
- Scientifica
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1155/sci5/8838031
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50