Identification of potent phytochemical inhibitors against mobilized colistin resistance: Molecular docking, MD simulations, ADMET, and toxicity predictions
The rapid emergence of colistin resistance, primarily driven by the mobilized colistin resistance (MCR-1) gene, poses a significant threat to public health, undermining one of the last-resort antibiotics for multidrug-resistant infections. In this study, a comprehensive screening of 214 phytochemicals was conducted using molecular docking and molecular dynamics (MD) simulations to identify potent inhibitors of the MCR-1 receptor. Among the top-ranked compounds, ligand 1 (amentoflavone) and ligand 2 (hinokiflavone) exhibited the highest binding affinities, outperforming several known inhibitors, including epigallocatechin gallate and Sanguinarium. The docking analysis revealed strong hydrogen bonding and van der Waals interactions between ligand 1 and key active site residues such as SER-284, THR-283, and TYR-287, stabilizing the ligand in the MCR-1 binding pocket. In comparison, ligand 2 demonstrated fewer hydrogen bonds, resulting in slightly reduced binding stability. MD simulations confirmed the stability of both ligands, with ligand 1 maintaining a stable conformation throughout. ADMET analysis further supported the selection of ligand 1 (amentoflavone) and ligand 2 (hinokiflavone), highlighting their favourable pharmacokinetic profiles, including good absorption and high clearance rates. Toxicity predictions using Protox 3 revealed low overall toxicity (toxicity class 5) for amentoflavone (LD50: 3919 mg/kg) and hinokiflavone (LD50: 4000 mg/kg), with moderate risks of nephrotoxicity and respiratory toxicity, but low potential for carcinogenicity and mutagenicity. Despite these moderate toxicity flags, the strong binding affinity, structural stability, and drug-like properties of amentoflavone and hinokiflavone support their selection as lead scaffolds. This study underscores the potential of ligand 1 (amentoflavone) as a promising MCR-1 inhibitor and a natural starting point for further optimization in the development of anti-colistin resistance therapeutics.
Authors
- Atif Khurshid Wani (ORCID: https://orcid.org/0000-0002-8820-1231)
- Mudasir Ahmad Dar (ORCID: https://orcid.org/0000-0001-6063-3385)
- Himanshu Jangid (ORCID: https://orcid.org/0009-0005-9919-5905)
- Neil P. Shah (ORCID: https://orcid.org/0009-0002-9280-6003)
Institutions
- Lovely Professional University (IN)
- Jiangsu University (CN)
- Jazan University (SA)
Publication Details
- Journal
- In Silico Research in Biomedicine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.insi.2025.100013
- Citations
- 4
- Primary Topic
- Antibiotic Resistance in Bacteria
- Type
- article
- Field-Weighted Citation Impact
- 2.36