IUPred WS (jabaws)

IUPred WS (jabaws) predicts intrinsically disordered or unstructured regions in protein sequences by estimating pairwise energy content from amino acid sequences to inform analyses of protein structure and function.


Key Features:

  • Unstructured Region Identification: Estimates pairwise energy content from amino acid sequences to identify intrinsically disordered or unstructured regions.
  • JABAWS integration: Implements the JABAWS framework and exposes JABAWS:MSA functionality supporting Probcons, T-coffee, Muscle, Mafft, and ClustalW.
  • Customizable Parameters: Provides access to application parameters and enables administrators to configure named parameter presets and execution limits via configuration files.
  • Command-line client: Supplies a command-line client for integrating JABAWS services into scripts and automated workflows.

Scientific Applications:

  • Protein structure–function analysis: Identifies disordered regions to analyze protein flexibility and their roles in molecular recognition and interaction networks.
  • Annotation of protein sequences: Supports annotation of intrinsically disordered regions within protein sequence datasets.
  • Predictive modeling of protein behavior: Informs predictive models of protein dynamics and interaction propensity by locating low-stability regions.
  • Study of signaling and regulation: Aids investigation of disordered regions implicated in signaling, regulation, and transient interactions.

Methodology:

The method calculates pairwise energy content from amino acid sequences to predict disorder, based on the principle that disordered regions typically exhibit lower energy stability than structured domains.

Topics

Collections

Details

Tool Type:
api
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
8/3/2015
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Troshin PV, Procter JB, Barton GJ. Java bioinformatics analysis web services for multiple sequence alignment—JABAWS:MSA. Bioinformatics. 2011;27(14):2001-2002. doi:10.1093/bioinformatics/btr304. PMID:21593132. PMCID:PMC3129525.

Documentation

Links