TMSOC
TMSOC identifies and classifies transmembrane helical segments (TMs) in protein sequences into 'simple' and 'complex' categories to improve the accuracy of sequence similarity searches and evolutionary and functional analyses of membrane proteins.
Key Features:
- Transmembrane helix classification: Classifies TMs into 'simple' and 'complex' categories based on sequence properties of transmembrane segments.
- Simple TM characterization: Identifies simple TMs as hydrophobic segments enriched in aliphatic residues that often serve as membrane anchors and can arise by convergent evolution.
- Complex TM characterization: Identifies complex TMs as segments that carry ancestral information and have structural and functional roles beyond membrane anchoring.
- False-positive mitigation: Masks simple TM segments before conducting similarity searches to reduce the high false-discovery rate associated with misleading TM-driven similarities.
- Compatibility with similarity search methods: Targets reduction of misleading hits in BLAST and HMM-based sequence similarity searches without compromising sensitivity.
- Multi-domain protein analysis: Facilitates accurate identification of evolutionary relationships in proteins containing both globular domains and transmembrane regions.
Scientific Applications:
- Improved homology detection: Reduces spurious significant hits in BLAST and HMM-based searches caused by simple transmembrane helices.
- Evolutionary inference: Preserves signals from complex TMs to support more reliable evolutionary analyses.
- Functional and structural annotation: Helps distinguish TM segments that contribute to protein function and structure from simple hydrophobic anchors.
- Analysis of mixed-domain membrane proteins: Enhances detection of homologs in proteins containing both globular domains and transmembrane helices.
Methodology:
Identifies and classifies transmembrane helices as 'simple' or 'complex' and masks simple TMs prior to sequence similarity searches such as BLAST and HMM-based methods.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Perl
- Added:
- 3/25/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Wong W, Maurer-Stroh S, Schneider G, Eisenhaber F. Transmembrane helix: simple or complex. Nucleic Acids Research. 2012;40(W1):W370-W375. doi:10.1093/nar/gks379. PMID:22564899. PMCID:PMC3394259.