SOSUI

SOSUI predicts whether amino acid sequences correspond to soluble or membrane proteins and identifies transmembrane helices to inform protein localization and structure-function analysis.


Key Features:

  • Sequence analysis: Analyzes amino acid sequences to derive structural features relevant to membrane association and solubility.
  • Protein classification: Classifies proteins as membrane or soluble with a reported 99% accuracy.
  • Transmembrane helix prediction: Identifies transmembrane helices and predicts their presence and location with a reported 97% accuracy.
  • Secondary structure prediction: Predicts aspects of protein secondary structure that are relevant to membrane embedding.

Scientific Applications:

  • Protein localization and structure–function studies: Supports investigations of protein localization and structure-function relationships in molecular biology.
  • Membrane protein analysis: Aids analysis of membrane protein topology and interactions relevant to signal transduction, transport processes, and cell communication.
  • Experimental design and therapeutic development: Informs experimental design and therapeutic development efforts in biochemistry and pharmacology.

Methodology:

Analyzes amino acid sequence inputs to infer structural characteristics, classify proteins as soluble or membrane, and predict the presence and location of transmembrane helices.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
5/2/2017
Last Updated:
11/25/2024

Operations

Publications

Hirokawa T, Boon-Chieng S, Mitaku S. SOSUI: classification and secondary structure prediction system for membrane proteins.. Bioinformatics. 1998;14(4):378-379. doi:10.1093/bioinformatics/14.4.378. PMID:9632836.