SWORD2: hierarchical analysis of protein 3D structures

Author:

Cretin Gabriel12ORCID,Galochkina Tatiana12ORCID,Vander Meersche Yann12ORCID,de Brevern Alexandre G12ORCID,Postic Guillaume3ORCID,Gelly Jean-Christophe12ORCID

Affiliation:

1. Université Paris Cité and Université des Antilles and Université de la Réunion , INSERM, BIGR, F-75015 Paris, France

2. Laboratoire d’Excellence GR-Ex , 75015 Paris, France

3. Université Paris-Saclay, Univ Evry , IBISC, 91020 Evry-Courcouronnes, France

Abstract

Abstract Understanding the functions and origins of proteins requires splitting these macromolecules into fragments that could be independent in terms of folding, activity, or evolution. For that purpose, structural domains are the typical level of analysis, but shorter segments, such as subdomains and supersecondary structures, are insightful as well. Here, we propose SWORD2, a web server for exploring how an input protein structure may be decomposed into ‘Protein Units’ that can be hierarchically assembled to delimit structural domains. For each partitioning solution, the relevance of the identified substructures is estimated through different measures. This multilevel analysis is achieved by integrating our previous work on domain delineation, ‘protein peeling’ and model quality assessment. We hope that SWORD2 will be useful to biologists searching for key regions in their proteins of interest and to bioinformaticians building datasets of protein structures. The web server is freely available online: https://www.dsimb.inserm.fr/SWORD2.

Funder

Ministry of Research

Université Paris Cité

National Institute for Health and Medical Research

French National Research Agency

Institut du développement et des ressources en informatique scientifique, France

Très Grand Centre de Calcul

Grand Equipement National de Calcul Intensif, France

Publisher

Oxford University Press (OUP)

Subject

Genetics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3