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

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

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. © 2019 by John Wiley & Sons, Inc.

Keywords: MESSA; predictions; protein sequence; structure and function.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Databases, Protein
  • Gene Ontology
  • Humans
  • Internet
  • Protein Conformation
  • Proteins / chemistry
  • Proteins / metabolism*
  • Sequence Alignment
  • Sequence Analysis, Protein / instrumentation*
  • Sequence Analysis, Protein / methods
  • User-Computer Interface

Substances

  • Proteins