Leitmotif
Leitmotif performs motif-HMM (mHMM) scanning to detect conserved protein motifs, distinguish family subtypes arising from motif variations, and identify pseudoenzymes that lack essential residues.
Key Features:
- mHMM scanning: Implements motif-HMM (mHMM) scanning for detection of conserved motifs in protein sequences.
- Sensitivity to motif variation: Detects proteins with variations within conserved motifs, enabling discrimination of family subtypes.
- Pseudoenzyme identification: Identifies false positives such as pseudoenzymes by detecting absence of essential residues within motifs.
- Parametrization: Exposes numerous parametrization options to adjust scanning behavior and sensitivity.
- Novel parameters: Incorporates two novel parameters that have demonstrated improved performance.
- Comparative performance: Offers advantages over traditional sequence-profile search methods such as HMMER and PSI-BLAST for motif-specific discrimination.
Scientific Applications:
- Protein family analysis: Analyzing protein families where subtle motif variations define subtypes.
- Motif characterization: Scanning and characterizing conserved motifs in proteins.
- Pseudoenzyme detection: Detecting pseudoenzymes that lack essential residues within conserved motifs.
- Method benchmarking: Benchmarking motif-scanning approaches and parameter effects using ROC-based performance evaluation.
Methodology:
Performs motif-HMM (mHMM) scanning, incorporates two novel parameters, and evaluates performance using ROC scores with comparisons to HMMER and PSI-BLAST.
Topics
Details
- Tool Type:
- api
- Added:
- 1/18/2021
- Last Updated:
- 2/12/2021
Operations
Publications
Biđin S, Vujaklija I, Paradžik T, Bielen A, Vujaklija D. Leitmotif: protein motif scanning 2.0. Bioinformatics. 2020;36(11):3566-3567. doi:10.1093/bioinformatics/btaa133. PMID:32154834.
PMID: 32154834