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Curr Protoc Bioinformatics. 2019 Sep;67(1):e84. doi: 10.1002/cpbi.84.

Predicting Sequence Features, Function, and Structure of Proteins Using MESSA.

Author information

1
Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas.
2
Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas.

Abstract

MEta-Server for protein Sequence Analysis (MESSA) is a tool that facilitates widespread protein sequence analysis by gathering structural (local sequence properties and three-dimensional structure) and functional (annotations from SWISS-PROT, Gene Ontology terms, and enzyme classification) predictions for a query protein of interest. MESSA uses multiple well-established tools to offer consensus-based predictions on important aspects of protein sequence analysis. Being freely available for noncommercial users and with a user-friendly interface, MESSA serves as an umbrella platform that overcomes the absence of a comprehensive tool for predictive protein analysis. This article reveals how to access MESSA via the Web and shows how to input a protein sequence to analyze using the MESSA web server. It also includes a detailed explanation of the output from MESSA to aid in better interpretation of results.

KEYWORDS:

MESSA; predictions; protein sequence; structure and function

PMID:
31524991
PMCID:
PMC6750024
[Available on 2020-09-01]
DOI:
10.1002/cpbi.84

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