Co-evolution techniques are reshaping the way we do structural bioinformatics-Reference-Cited by-同舟云学术

Co-evolution techniques are reshaping the way we do structural bioinformatics

Published:2017-07-25 Issue: Volume:6 Page:1224
ISSN:2046-1402
Container-title:F1000Research
language:en
Short-container-title:F1000Res

Author:

de Oliveira Saulo,Deane Charlotte^ORCID

Abstract

Co-evolution techniques were originally conceived to assist in protein structure prediction by inferring pairs of residues that share spatial proximity. However, the functional relationships that can be extrapolated from co-evolution have also proven to be useful in a wide array of structural bioinformatics applications. These techniques are a powerful way to extract structural and functional information in a sequence-rich world.

Funder

Engineering and Physical Sciences Research Council

Publisher

F1000 Research Ltd

Subject

General Pharmacology, Toxicology and Pharmaceutics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

https://f1000research.com/articles/6-1224/v1/pdf

Reference65 articles.

1. Correlated mutations and residue contacts in proteins.;U Göbel;Proteins.,1994

2. Prediction of contact maps with neural networks and correlated mutations.;P Fariselli;Protein Eng.,2001

3. Progress in predicting inter-residue contacts of proteins with neural networks and correlated mutations.;P Fariselli;Proteins.,2001

4. Improving contact predictions by the combination of correlated mutations and other sources of sequence information.;O Olmea;Fold Des.,1997

5. A graphical interface for correlated mutations and other protein structure prediction methods.;F Pazos;Comput Appl Biosci.,1997

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets;Medical & Biological Engineering & Computing;2024-04-16

2. Computational Analysis of Gastric Canceromics Data to Identify Putative Biomarkers;Current Topics in Medicinal Chemistry;2024-01

3. When Protein Structure Embedding Meets Large Language Models;Genes;2023-12-23

4. Co‐evolution at protein–protein interfaces guides inference of stoichiometry of oligomeric protein complexes by de novo structure prediction;Molecular Microbiology;2023-09-30

5. Enhanced antibody-antigen structure prediction from molecular docking using AlphaFold2;Scientific Reports;2023-09-13