PSI-Search API (EBI)
PSI-Search API (EBI) performs protein similarity searches by combining SSEARCH (Smith–Waterman) local alignments with PSI-BLAST profile construction to detect homologs with improved selectivity and maintained sensitivity.
Key Features:
- Optimal Smith–Waterman Local Alignment: Uses SSEARCH to perform optimal Smith–Waterman local alignments for precise sequence similarity detection.
- PSI-BLAST Profile Construction: Builds position-specific scoring matrices (PSSMs) using the PSI-BLAST profile construction strategy to enhance homolog detection.
- Homologous Over-Extension (HOE) Mitigation: Implements an optional sequence boundary-masking procedure to prevent profile contamination by alignments that extend into unrelated domains.
- Enhanced Selectivity and Sensitivity: Achieves approximately four-fold better selectivity while maintaining similar sensitivity at 50% and 60% family coverage compared with traditional PSI-BLAST.
- Reduced False Positives: Produces 2- to 4-fold fewer false positives in comparisons with JackHMMER.
Scientific Applications:
- Evolutionary Biology: Enables detection of distant homologs to inform evolutionary relationships.
- Protein Functional Annotation: Supports identification of homologous sequences for transfer or inference of functional annotation.
- Conserved Domain Identification: Assists in detecting conserved protein domains and mitigating domain boundary over-extension.
Methodology:
Performs optimal Smith–Waterman alignments with SSEARCH, constructs PSSMs using the PSI-BLAST profile construction strategy, applies optional sequence boundary-masking to prevent homologous over-extension (HOE), and compares selectivity/sensitivity metrics to PSI-BLAST and false-positive rates to JackHMMER.
Topics
Collections
Details
- Tool Type:
- api
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2015
- Last Updated:
- 11/24/2024
Operations
Publications
Li W, McWilliam H, Goujon M, Cowley A, Lopez R, Pearson WR. PSI-Search: iterative HOE-reduced profile SSEARCH searching. Bioinformatics. 2012;28(12):1650-1651. doi:10.1093/bioinformatics/bts240. PMID:22539666. PMCID:PMC3371869.