CoDNaS-Q
CoDNaS-Q catalogs conformational diversity among redundant structures of proteins with biologically relevant quaternary (homooligomeric) states to enable analysis of native-state structural variation and its functional implications.
Key Features:
- Curated Collection: A high-confidence compilation of redundant protein structures verified to possess known biologically relevant quaternary configurations.
- Conformational Diversity Exploration: Cataloging structural variations among conformers that define the native-state dynamical equilibrium of homooligomeric proteins.
- Annotations and Insights: Structural annotations linked to entries to quantify the extent of conformational diversity and highlight potential reasons for observed variations.
Scientific Applications:
- Structural analysis of homooligomeric complexes: Comparative exploration of alternative quaternary conformations to inform structural biology studies.
- Functional inference from conformational variation: Assessment of how conformational heterogeneity correlates with protein function and intermolecular interactions.
- Investigation of dynamics and disease mechanisms: Use of conformational catalogs and annotations to study dynamic behavior relevant to biological processes and disease.
Methodology:
Compilation and curation of redundant protein structures verified for biologically relevant quaternary assemblies, cataloging conformational differences among conformers and providing structural annotations.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- JavaScript, Java
- Added:
- 10/30/2022
- Last Updated:
- 10/30/2022
Operations
Data Inputs & Outputs
Publications
Escobedo N, Tunque Cahui RR, Caruso G, García Ríos E, Hirsh L, Monzon AM, Parisi G, Palopoli N. CoDNaS-Q: a database of conformational diversity of the native state of proteins with quaternary structure. Bioinformatics. 2022;38(21):4959-4961. doi:10.1093/bioinformatics/btac627. PMID:36111870.