Computational Design of a Phytochemical Drug Candidate Targeting Monkeypox Virus D8l and D4r/A20r Complex: An in Silico Study of Pharmacophoreand Molecular Prediction
Sep 2026· American Journal of Bioscience and Bioinformatics· 0 citations
TL;DR
Findings support further experimental validation by in vitro and in vivo tests as possible choices for treating MPXV and support further experimental validation by in vitro and in vivo tests as possible choices.
Abstract
Due to its rapid spread and the absence of approved antiviral treatments, Monkeypox virus (MPXV) has been declared as a global health emergency. This study aimed to identify possible drug candidates targeting MPXV vaccinia proteins D8L which is involved in host cell entry, and D4R/A20R Complex responsible for viral DNA replication and host cell entry. Phytochemical and pharmacophore compounds were assessed against MPXV target proteins using an in silico quantitative method that combined computational screening, molecular docking, and protein–ligand interaction analysis. Protein and ligand libraries were obtained from RCSB PDB, NCBI BLASTp, PubChem, and DrugBank. Drug-likeness and pharmacokinetic properties were assessed using ADMETLab 3.0. This screening reduced the initial number of 1,854 phytochemical and 808 pharmacophore compounds to 168 phytochemical and 11 pharmacophore candidates. The compounds that satisfied the former criterion were subjected to molecular docking and cavity assessment using CB-Dock which was then followed by an interaction analysis using PLIP. The leading ligands were then further evaluated using a criterion derived from docking rank, hydrogen bonds, and hydrophobic interactions gained. Among the three (3) methods, Artonol A and Camptothecin showed identical strong binding affinities of −9.1 kcal/mol and achieved the highest scores against their respective proteins. These findings support further experimental validation by in vitro and in vivo tests as possible choices for treating MPXV.
PURPOSE/OBJECTIVE
Multidrug resistance (MDR) in Agrobacterium tumefaciens poses significant challenges to agriculture and health. This study aimed to identify safe, plant-derived phytochemicals that inhibit essential Agrobacterium proteins, using an integrated in silico and in vitro approach.
METHODS
A library of 181...
Shahid Attar, Y. Phatake, R. Marathe· Computational biology and ch...· 0 citations
The combination of virtual screening, ADME studies, and MD simulations enabled the identification of phytochemicals with promising interactions toward InhA, an established anti-TB target, and should be interpreted as preliminary evidence of target engagement rather than confirmed inhibitory activity or therapeutic effi...
D. Kumar, Bhoomika, Alka Khichi et al.· Current Computer - Aided Dru...· 0 citations
The increasing incidence of antifungal resistance in Candida albicans, mainly mediated by multidrug efflux transporters and alterations of cell-wall biosynthesis, requires the discovery of new antifungal compounds targeting multiple pathways involved in resistance. In the present study, we employed an integrated comput...
Akshay Kisan Mundhe, Reena Rajkumari· Frontiers in Cellular and In...· 0 citations
The results indicate that the catechin compound from green tea has the potential to inhibit SARS-CoV-2 replication in a multi-target manner through the mechanism of inhibition of the catalytic and replication sites, thereby overcoming the complexity of virus replication and avoiding resistance.
Farhan Fauzan, Meilisa Dwi Puteri, Tri Putriani et al.· JRST: Jurnal Riset Sains dan...· 0 citations
This work establishes AI‑driven structure prediction as a useful tool for identifying preliminary binding compounds for monkeypox virus infection, and provides a framework for rapid drug screening against emerging viral threats.
Tao Tao, Li Jia, Yu-Hang Cheng et al.· Journal of Computer-Aided Mo...· 0 citations
The findings suggest that Lig-1, followed by Lig-3, may serve as promising computational lead compounds targeting SARS-CoV-2 MPro, representing promising candidates for further experimental validation.
Mohd Yasir Khan, Farah Maarfi, A. Shah et al.· International Journal of Mol...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.