PRIGSA2

PRIGSA2 identifies structural repeats in protein structures using graph spectral analysis to detect tandemly repeated structural motifs relevant to protein stability and function.


Key Features:

  • Graph-Based Algorithm: Utilizes network representations of protein structures to capture intra- and inter-repeat unit interactions via topological features.
  • Graph Spectral Analysis: Applies graph spectral analysis to detect periodicity and repeating patterns within protein tertiary structures.
  • Integration of Knowledge-Based and De Novo Prediction: Combines existing repeat family knowledge with de novo prediction to identify repeats in single monomer chains and multimeric protein complexes.
  • Structure-Based Validation and Filtering: Incorporates structure-based validation and filtering steps to improve accuracy of tandem structural repeat detection.
  • Benchmarking and Performance Evaluation: Benchmarked against state-of-the-art methods using datasets of repeat and non-repeat proteins, including detection of members of 13 known repeat families as reported in UniProt.
  • Proteome-Scale Application: Execution on the complete Protein Data Bank (PDB) enables identification of previously uncharacterized structural repeat proteins.
  • Enhanced Coverage and Novel Discoveries: Achieves approximately a three-fold increase in coverage for known repeat family members and identified 3,408 novel uncharacterized structural repeat proteins in PDB analyses.
  • Extension of PRIGSA: Builds on the original PRIGSA algorithm by integrating improved analytical approaches for repeat detection.

Scientific Applications:

  • Structure–Function Analysis: Identification of tandem repeats to study contributions of repetitive motifs to protein stability and function.
  • Interaction and Assembly Studies: Detection of repeats in multimeric complexes to inform analyses of protein interaction capabilities and assembly.
  • Repeat Family Annotation: Annotation and expansion of known repeat families as reported in UniProt through computational detection.
  • Proteome-Scale Repeat Discovery: Systematic screening of the PDB to discover previously uncharacterized structural repeat proteins for structural biology research.

Methodology:

PRIGSA2 processes PDB files and uses graph spectral analysis to compute periodicity and report coordinates of identified repeats.

Topics

Details

Added:
1/9/2020
Last Updated:
12/6/2020

Operations

Publications

Chakrabarty B, Parekh N. PRIGSA2: Improved version of Protein Repeat Identification by Graph Spectral Analysis. Unknown Journal. 2019. doi:10.1101/803304.