nCoVDock2
nCoVDock2 performs molecular docking to predict interactions between SARS-CoV-2 proteins and small molecules, peptides, and antibodies to support therapeutic and vaccine research.
Key Features:
- Expanded Target Support: Integrates newly resolved structural data and additional SARS-CoV-2 targets, including variant-relevant proteins, to broaden applicability across evolving viral mutations.
- Advanced Docking Capabilities: Uses an upgraded AutoDock Vina (version 1.2.0) for small-molecule docking and a novel scoring function for peptide and antibody docking.
Scientific Applications:
- Interaction Mapping: Predicts binding modes between SARS-CoV-2 proteins and candidate small molecules, peptides, or antibodies.
- Drug and Immunotherapeutic Design: Supports rational design and prioritization of antiviral small molecules, therapeutic peptides, and antibodies.
- Variant Impact Analysis: Evaluates effects of emerging SARS-CoV-2 variants on ligand binding by incorporating new structural data.
Methodology:
Computational docking simulations using AutoDock Vina 1.2.0 for small molecules and a novel scoring function for peptide/antibody docking, with integration of newly resolved SARS-CoV-2 structural data.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Mac, Windows
- Added:
- 1/22/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Liu K, Lu X, Shi H, Xu X, Kong R, Chang S. nCoVDock2: a docking server to predict the binding modes between COVID-19 targets and its potential ligands. Nucleic Acids Research. 2023;51(W1):W365-W371. doi:10.1093/nar/gkad414. PMID:37194703. PMCID:PMC10320176.
DOI: 10.1093/nar/gkad414
PMID: 37194703
PMCID: PMC10320176
Funding: - National Natural Science Foundation of China: 12074151
- Changzhou Sci. and Tech. Program: CE20205033