| Literature DB >> 25237391 |
Sabrina A Silveira1, Alexandre V Fassio1,2, Valdete M Gonçalves-Almeida1, Raquel C de Melo-Minardi1, Elisa B de Lima1,2, Yussif T Barcelos1, Flávia F Aburjaile2, Laerte M Rodrigues1,2, Wagner Meira1.
Abstract
In this paper, we propose an interactive visualization called VERMONT which tackles the problem of visualizing mutations and infers their possible effects on the conservation of physicochemical and topological properties in protein families. More specifically, we visualize a set of structure-based sequence alignments and integrate several structural parameters that should aid biologists in gaining insight into possible consequences of mutations. VERMONT allowed us to identify patterns of position-specific properties as well as exceptions that may help predict whether specific mutations could damage protein function.Entities:
Keywords: Bioinformatics; Molecular Structure and Function; Mutation; Network Analysis; Visualization
Year: 2014 PMID： 25237391 PMCID： PMC4155615 DOI： 10.1186/1753-6561-8-S2-S4
Source DB: PubMed Journal: BMC Proc ISSN： 1753-6561