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Protein structural bioinformatics: An overview

Authors :
Vinícius de Almeida Paiva
Isabela de Souza Gomes
Cleiton Rodrigues Monteiro
Murillo Ventura Mendonça
Pedro Magalhães Martins
Charles Abreu Santana
Valdete Gonçalves-Almeida
Sandro Carvalho Izidoro
Raquel Cardoso de Melo-Minardi
Sabrina de Azevedo Silveira
Source :
Computers in Biology and Medicine. 147:105695
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

Proteins play a crucial role in organisms in nature. They are able to perform structural, catalytic, transport and defense functions in cells, among others. We understand that a variety of resources do exist to work with protein structural bioinformatics, which perform tasks such as protein modeling, protein docking, protein molecular dynamics, protein interaction, active and binding site prediction and mutation analysis. Nonetheless, they are generally spread all over different online repositories. For the students or professionals interested in working with protein structural bioinformatics, it may not be trivial to know what resources he/she should learn/use or where these could be accessed. Here, the main subareas in the field of protein structural bioinformatics are introduced with a brief description, and we point to and discuss several online resources, such as methods, databases and tools, in order to give an overview of this research field. Furthermore, we developed Protein Structural bioinformatics Overview (PreStO), a web tool available at http://bioinfo.dcc.ufmg.br/presto/, to organize and make it possible to retrieve these online resources based on a search term. We believe that this paper can be a starting point for potential bioinformaticians to trace a path that can be followed to build competencies and achieve knowledge milestones in the context of protein structural bioinformatics.

Details

ISSN :
00104825
Volume :
147
Database :
OpenAIRE
Journal :
Computers in Biology and Medicine
Accession number :
edsair.doi.dedup.....b06a3df93b8b63c1648e7d95fbb9a27e
Full Text :
https://doi.org/10.1016/j.compbiomed.2022.105695