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.