Publication:

Mu-8: visualizing differences between proteins and their families

Loading...
Thumbnail Image

Date

2014-08

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Science and Business Media LLC
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Mercer, Johnathan D, Balaji Pandian, Alexander Lex, Nicolas Bonneel, Hanspeter Pfister. "Mu-8: visualizing differences between proteins and their families." BMC Proc 8, no. S2 (2014). DOI: 10.1186/1753-6561-8-s2-s5

Abstract

Background: A complete understanding of the relationship between the amino acid sequence and resulting protein function remains an open problem in the biophysical sciences. Current approaches often rely on diagnosing functionally relevant mutations by determining whether an amino acid frequently occurs at a specific position within the protein family. However, these methods do not account for the biophysical properties and the 3D structure of the protein. We have developed an interactive visualization technique, Mu-8, that provides researchers with a holistic view of the differences of a selected protein with respect to a family of homologous proteins. Mu-8 helps to identify areas of the protein that exhibit: (1) significantly different bio-chemical characteristics, (2) relative conservation in the family, and (3) proximity to other regions that have suspect behavior in the folded protein. Methods: Our approach quantifies and communicates the difference between a reference protein and its family based on amino acid indices or principal components of amino acid index classes, while accounting for conservation, proximity amongst residues, and overall 3D structure. Results: We demonstrate Mu-8 in a case study with data provided by the 2013 BioVis contest. When comparing the sequence of a dysfunctional protein to its functional family, Mu-8 reveals several candidate regions that may cause function to break down.

Description

Other Available Sources

Research Data

Keywords

General Biochemistry, Genetics and Molecular Biology, General Medicine

Terms of Use

Endorsement

Review

Supplemented By

Related Stories