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.

PMID: 36111870
Funding: - Universidad Nacional de Quilmes: PUNQ 1309/19 - Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación: PICT-2018 3457 - Consejo Nacional de Investigaciones Científicas y Técnicas: PIP-2015-2017 11220150100853CO - European Union’s Horizon 2020 Research and Innovation Staff Exchange program: 778247, 823886

Documentation

Links