Protein Contacts Atlas
Protein Contacts Atlas maps non-covalent contacts from over 100,000 Protein Data Bank (PDB) crystal structures to enable analysis of biomolecular interactions across atoms, residues, secondary structures, subunits, and complexes.
Key Features:
- Non-Covalent Contacts Visualization: Emphasizes non-covalent interactions that underpin physiological processes, pathogenesis, and drug action.
- Multi-scale Representations: Provides analyses at atomic, residue, secondary-structure, subunit, and whole-complex levels.
- PDB-derived Dataset: Uses a comprehensive collection of over 100,000 crystal structures from the Protein Data Bank (PDB) to compile contacts.
- Interface and Protein–Ligand Contacts: Includes characterization of subunit interfaces and protein–ligand contacts within structures.
- External Data Mapping: Supports mapping of external information onto contact representations for integrative analysis.
Scientific Applications:
- Allostery Interpretation: Enables examination of contact networks to interpret allosteric mechanisms.
- Disease Mutations and Polymorphisms Analysis: Facilitates assessment of how mutations and polymorphisms alter non-covalent contacts in protein structures.
- Hypothesis Generation and Communication: Produces visual representations of contact networks to generate structural hypotheses and communicate findings.
Methodology:
The resource compiles a database of non-covalent contacts derived from PDB crystal structures and integrates multiple visualization techniques for analysis at different structural levels.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 5/30/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Kayikci M, Venkatakrishnan AJ, Scott-Brown J, Ravarani CNJ, Flock T, Babu MM. Visualization and analysis of non-covalent contacts using the Protein Contacts Atlas. Nature Structural & Molecular Biology. 2018;25(2):185-194. doi:10.1038/s41594-017-0019-z. PMID:29335563. PMCID:PMC5837000.