idpr

idpr performs profiling and analysis of intrinsically disordered proteins (IDPs) and intrinsically disordered regions (IDRs) in R, enabling residue composition assessment, charge–hydropathy calculations, intrinsic disorder prediction, and integration with amino acid substitution matrices.


Key Features:

  • Residue Composition Analysis: Assesses amino acid composition of protein sequences to inform disorder-related properties.
  • Charge-Hydropathy Relationships: Calculates charge–hydropathy relationships to evaluate how charge distribution and hydrophobicity relate to disorder.
  • Predictions of Intrinsic Disorder: Predicts regions within protein sequences that are likely to be intrinsically disordered.
  • Integration with Amino Acid Substitution Matrices: Incorporates amino acid substitution matrices and calculators for evolutionary conservation and sequence-comparison analyses.
  • R Implementation: Implements a suite of R functions that perform the package's analyses.

Scientific Applications:

  • Protein sequence analysis: Analyze protein sequences for disorder-prone regions and composition-based properties.
  • Study of IDP/IDR biological roles and interactions: Identify disorder regions to facilitate investigation of biological roles and molecular interactions.
  • Structural inference: Use residue composition and charge–hydropathy measures to infer structural tendency toward disorder.
  • Evolutionary and functional analysis: Combine substitution-matrix integration with disorder predictions to assess conservation and functional implications.

Methodology:

Implements R functions that perform residue composition analysis, charge–hydropathy calculations, intrinsic disorder prediction, and integration with amino acid substitution matrices and calculators.

Topics

Details

License:
LGPL-3.0
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
7/27/2022
Last Updated:
11/24/2024

Operations

Publications

McFadden WM, Yanowitz JL. idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R. PLOS ONE. 2022;17(4):e0266929. doi:10.1371/journal.pone.0266929. PMID:35436286. PMCID:PMC9015136.

PMID: 35436286
PMCID: PMC9015136
Funding: - National Institute of General Medical Sciences: R01GM127569

Documentation

Links