Computational identification of natural inhibitors targeting GroEL in Leptospira interrogans: an integrative virtual screening and molecular dynamics approach
Guneswar Sethi, Sthitaprajna Sahoo, Su-Cheol Han, Donghyun Shin, Jeong Ho Hwang

TL;DR
Researchers used computational methods to identify natural compounds that may inhibit a key protein in Leptospira interrogans, a bacterium that causes leptospirosis.
Contribution
This study identifies promising natural inhibitors of GroEL in Leptospira interrogans using virtual screening and molecular dynamics simulations.
Findings
Five natural compounds showed strong binding affinities to GroEL with docking energies between −10.34 and −8.26 kcal/mol.
F1864–0208 and F1243–0200 were identified as the most stable and promising lead compounds.
All shortlisted compounds met Lipinski’s Rule of Five and showed favorable pharmacokinetic properties.
Abstract
Leptospirosis is a zoonotic disease caused by Leptospira interrogans and represents a major public health and veterinary concern. The persistence of the pathogen is closely associated with biofilm formation, yet targeted therapeutics are currently unavailable. The GroEL chaperonin, a conserved protein involved in biofilm formation and immunogenicity, was investigated as a potential therapeutic target. A structure-based virtual screening approach was performed using a library of 543,503 natural compounds from the Life Chemicals database. Top-ranked ligands were evaluated using molecular docking and physicochemical and pharmacokinetic property analyses. Density functional theory calculations were performed to assess electronic stability, followed by molecular dynamics simulations to evaluate ligand–protein complex stability. Principal component analysis and MM-PBSA binding free energy…
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Taxonomy
TopicsLeptospirosis research and findings · Heat shock proteins research · Yersinia bacterium, plague, ectoparasites research
