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Vermont: a multi-perspective visual interactive platform for mutational analysis.


ABSTRACT: A huge amount of data about genomes and sequence variation is available and continues to grow on a large scale, which makes experimentally characterizing these mutations infeasible regarding disease association and effects on protein structure and function. Therefore, reliable computational approaches are needed to support the understanding of mutations and their impacts. Here, we present VERMONT 2.0, a visual interactive platform that combines sequence and structural parameters with interactive visualizations to make the impact of protein point mutations more understandable.We aimed to contribute a novel visual analytics oriented method to analyze and gain insight on the impact of protein point mutations. To assess the ability of VERMONT to do this, we visually examined a set of mutations that were experimentally characterized to determine if VERMONT could identify damaging mutations and why they can be considered so.VERMONT allowed us to understand mutations by interpreting position-specific structural and physicochemical properties. Additionally, we note some specific positions we believe have an impact on protein function/structure in the case of mutation.

SUBMITTER: Fassio AV 

PROVIDER: S-EPMC5606220 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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Vermont: a multi-perspective visual interactive platform for mutational analysis.

Fassio Alexandre V AV   Martins Pedro M PM   Guimarães Samuel da S SDS   Junior Sócrates S A SSA   Ribeiro Vagner S VS   de Melo-Minardi Raquel C RC   Silveira Sabrina de A SA  

BMC bioinformatics 20170913 Suppl 10


<h4>Background</h4>A huge amount of data about genomes and sequence variation is available and continues to grow on a large scale, which makes experimentally characterizing these mutations infeasible regarding disease association and effects on protein structure and function. Therefore, reliable computational approaches are needed to support the understanding of mutations and their impacts. Here, we present VERMONT 2.0, a visual interactive platform that combines sequence and structural paramete  ...[more]

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