DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability.

Abstract:

:Proteins are highly dynamic molecules, whose function is intrinsically linked to their molecular motions. Despite the pivotal role of protein dynamics, their computational simulation cost has led to most structure-based approaches for assessing the impact of mutations on protein structure and function relying upon static structures. Here we present DynaMut, a web server implementing two distinct, well established normal mode approaches, which can be used to analyze and visualize protein dynamics by sampling conformations and assess the impact of mutations on protein dynamics and stability resulting from vibrational entropy changes. DynaMut integrates our graph-based signatures along with normal mode dynamics to generate a consensus prediction of the impact of a mutation on protein stability. We demonstrate our approach outperforms alternative approaches to predict the effects of mutations on protein stability and flexibility (P-value < 0.001), achieving a correlation of up to 0.70 on blind tests. DynaMut also provides a comprehensive suite for protein motion and flexibility analysis and visualization via a freely available, user friendly web server at http://biosig.unimelb.edu.au/dynamut/.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Rodrigues CH,Pires DE,Ascher DB

doi

10.1093/nar/gky300

subject

Has Abstract

pub_date

2018-07-02 00:00:00

pages

W350-W355

issue

W1

eissn

0305-1048

issn

1362-4962

pii

4990022

journal_volume

46

pub_type

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