DSSPcont

DSSPcont produces continuous residue-level secondary structure assignments by averaging multiple DSSP outputs computed from PDB three-dimensional coordinates with varying hydrogen-bond thresholds to capture thermal-induced conformational variability.


Key Features:

  • Continuous assignment approach: Calculates weighted averages over ten discrete DSSP assignments computed with varying hydrogen-bond thresholds to produce a continuum of secondary structure values per residue expressed as percentage likelihoods across the eight DSSP states.
  • Reflection of thermal fluctuations: Captures structural variations induced by thermal fluctuations as observed in Nuclear Magnetic Resonance (NMR) data.
  • Single-model reproduction of NMR variability: Reproduces structural variations seen across multiple NMR models from a single X-ray structure, enabling extraction of functionally relevant variations from crystallographic coordinates.

Scientific Applications:

  • Understanding protein flexibility: Provides residue-level probability distributions of the eight DSSP states to analyze conformational variability and flexibility.
  • Drug design and development: Reveals dynamic secondary-structure states that can expose transient or alternative binding-site conformations relevant for ligand design.
  • Comparative structural analysis: Facilitates comparison of conformational ensembles and evolutionary or functional adaptations by quantifying secondary-structure variability.

Methodology:

Compute ten DSSP assignments from PDB three-dimensional coordinates using varying hydrogen-bond thresholds and combine them via weighted averaging to yield residue-level percentage likelihoods across the eight DSSP states.

Topics

Details

License:
Other
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
2/7/2017
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Carter P. DSSPcont: continuous secondary structure assignments for proteins. Nucleic Acids Research. 2003;31(13):3293-3295. doi:10.1093/nar/gkg626. PMID:12824310. PMCID:PMC169032.