Bios2cor
Bios2cor integrates dynamic correlations from molecular dynamics (MD) simulations and evolutionary correlations from multiple sequence alignments (MSAs) as an R package to identify residues critical for protein function.
Key Features:
- Integration of dynamic and evolutionary data: Combines sidechain motion correlations from MD simulations with evolutionary covariation derived from MSAs to analyze residue relationships.
- Correlation/covariation score computation: Computes correlation or covariation scores between positions within an MSA and between sidechain dihedral angles or rotamers in MD trajectories.
- Analytical, visualization, and interpretation tools: Provides analysis, visualization, and interpretation capabilities for correlation data to support residue-level functional inferences.
Scientific Applications:
- Structure–function analysis: Identifies residues whose combined dynamic and evolutionary correlations implicate roles in protein function and mechanism.
- Stability and interaction-site analysis: Highlights residues that may influence protein stability or mediate interaction sites via correlated motions and conservation patterns.
- Drug target and functional residue identification: Pinpoints candidate residues for functional perturbation or drug design based on combined dynamic and evolutionary signals.
Methodology:
Operates on either an MSA or an MD trajectory as input, computes correlation/covariation scores between MSA positions or MD sidechain dihedral angles/rotamers, and performs analysis and visualization of the resulting correlation data.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 3/19/2021
- Last Updated:
- 4/21/2021
Operations
Publications
Taddese B, Garnier A, Deniaud M, Henrion D, Chabbert M. Bios2cor: an R package integrating dynamic and evolutionary correlations to identify functionally important residues in proteins. Bioinformatics. 2021;37(16):2483-2484. doi:10.1093/bioinformatics/btab002. PMID:33471079.