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

Archana S. Bhat, Nick V Grishin

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Article numbere84
JournalCurrent Protocols in Bioinformatics
Volume67
Issue number1
DOIs
StatePublished - Jan 1 2019

Fingerprint

Protein Sequence Analysis
Servers
Proteins
Protein Databases
Gene Ontology
User interfaces
Ontology
Genes
Enzymes

Keywords

  • MESSA
  • predictions
  • protein sequence
  • structure and function

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry

Cite this

Predicting Sequence Features, Function, and Structure of Proteins Using MESSA. / Bhat, Archana S.; Grishin, Nick V.

In: Current Protocols in Bioinformatics, Vol. 67, No. 1, e84, 01.01.2019.

Research output: Contribution to journalArticle

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