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.
PMID: 9632836