(PS)2 - v3

(PS)2 - v3 predicts three-dimensional structures of protein complexes and analyzes coupling between subunits by combining comparative modeling with structural and evolutionary profile analyses.


Key Features:

  • Comparative Modeling Approach: Employs PSI-BLAST and IMPALA for template selection and T-Coffee for target–template alignment to produce consensus alignments.
  • Structure Prediction: Builds three-dimensional models of protein complexes using MODELLER based on selected templates and alignments.
  • Subunit Coupling Analysis: Integrates structural and evolutionary considerations to assess coupling between subunits and infer effects on complex stability and function.
  • Profile Comparison: Compares structural and evolutionary profiles of each subunit with and without packing contributions from other subunits to indicate monomeric versus complex preference.

Scientific Applications:

  • Molecular basis of protein function: Investigates how structural features and subunit interactions determine protein function.
  • Protein–protein interactions: Analyzes inter-subunit coupling to inform studies of interaction specificity and interface properties.
  • Structural dynamics of complexes: Assesses how packing and evolutionary signals relate to preferred biological states of subunits within complexes.
  • Hypothesis generation: Supports generation of hypotheses about subunit coupling and its impact on complex stability and functionality.

Methodology:

Initial sequence searches and template selection use PSI-BLAST and IMPALA, alignments are refined with T-Coffee, final models are built with MODELLER, and subunit coupling is evaluated via structural and evolutionary profile comparisons with and without packing contributions.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Huang T, Hwang J, Chen C, Chu C, Lee C, Chen C. (PS)<sup>2</sup>: protein structure prediction server version 3.0. Nucleic Acids Research. 2015;43(W1):W338-W342. doi:10.1093/nar/gkv454. PMID:25943546. PMCID:PMC4489310.

Documentation

Links