CoDNaS-Q: a database of conformational diversity of the native state of proteins with quaternary structure

Author:

Escobedo Nahuel12ORCID,Tunque Cahui Ronaldo Romario3,Caruso Gastón1,García Ríos Emilio3,Hirsh Layla3,Monzon Alexander Miguel4,Parisi Gustavo12ORCID,Palopoli Nicolas12ORCID

Affiliation:

1. Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes , Buenos Aires B1876BXD, Argentina

2. Consejo Nacional de Investigaciones Científicas y Técnicas , Buenos Aires C1425FQB, Argentina

3. Departamento de Ingeniería, Pontificia Universidad Católica del Perú , Lima 15088, Peru

4. Department of Biomedical Sciences, University of Padova , Padova 35121, Italy

Abstract

Abstract Summary A collection of conformers that exist in a dynamical equilibrium defines the native state of a protein. The structural differences between them describe their conformational diversity, a defining characteristic of the protein with an essential role in multiple cellular processes. Since most proteins carry out their functions by assembling into complexes, we have developed CoDNaS-Q, the first online resource to explore conformational diversity in homooligomeric proteins. It features a curated collection of redundant protein structures with known quaternary structure. CoDNaS-Q integrates relevant annotations that allow researchers to identify and explore the extent and possible reasons of conformational diversity in homooligomeric protein complexes. Availability and implementation CoDNaS-Q is freely accessible at http://ufq.unq.edu.ar/codnasq/ or https://codnas-q.bioinformatica.org/home. The data can be retrieved from the website. The source code of the database can be downloaded from https://github.com/SfrRonaldo/codnas-q.

Funder

Universidad Nacional de Quilmes

Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación

Consejo Nacional de Investigaciones Científicas y Técnicas

European Union’s Horizon 2020 Research and Innovation Staff Exchange program

CONICET

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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