RT Journal Article SR Electronic T1 Vermont: a multi-perspective visual interactive platform for mutational analysis JF bioRxiv FD Cold Spring Harbor Laboratory SP 166348 DO 10.1101/166348 A1 Alexandre V Fassio A1 Pedro M Martins A1 Samuel da S Guimarães A1 Sócrates S A Junior A1 Vagner S Ribeiro A1 Raquel C de Melo-Minardi A1 Sabrina de A Silveira YR 2017 UL http://biorxiv.org/content/early/2017/07/20/166348.abstract AB Background 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.Results 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.Conclusions 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.