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
Protein secondary structure comparison
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.