SCOT

SCOT classifies protein secondary structure elements—including turns, right-handed α-, 310- and π-helices; left-handed α- and 310-helices; polyproline II helices; β-sheets; and kinks—using hydrogen-bond, geometric, and dihedral-angle criteria and computes Helix Purity values to differentiate helix classes for structural analysis.


Key Features:

  • Secondary-structure repertoire: Assigns turns, right- and left-handed α- and 310-helices, π-helices, polyproline II helices, β-sheets, and kinks.
  • Assignment criteria: Combines hydrogen-bond detection, geometric criteria, and backbone dihedral-angle analysis for secondary-structure assignment.
  • Helix Purity values: Computes Helix Purity values to distinguish between helix classes.
  • Structure-quality independence: Produces assignments that are reported to be independent of protein structure quality and flexibility.
  • Benchmarking: Compared against DSSP, STRIDE, ASSP, SEGNO, DISICL, and SHAFT with evaluations on geometric consistency, protein structure quality, flexibility dependency, and impact on SSE-based structural alignments, demonstrating superior performance.
  • Output format: Exports results in PDB conform format.
  • Visualization support: Provides PyMOL scripts for visualization of regular backbone geometries.

Scientific Applications:

  • Structural analysis: Provides detailed and consistent secondary-structure assignments for protein structural analysis.
  • Structural alignment: Improves secondary-structure-element-based structural alignments by supplying geometrically consistent SSE definitions.
  • Prediction and annotation: Supports secondary-structure-based prediction and annotation workflows.
  • Visualization of backbone geometry: Enables visualization of regular backbone geometries via supplied PyMOL scripts.

Methodology:

Assignments combine hydrogen-bond detection, geometric criteria, and backbone dihedral-angle analysis and compute Helix Purity values; outputs are produced in PDB conform format and PyMOL scripts are provided for visualization.

Topics

Details

Programming Languages:
PyMOL
Added:
1/14/2020
Last Updated:
1/16/2021

Operations

Publications

Brinkjost T, Ehrt C, Koch O, Mutzel P. SCOT: Rethinking the classification of secondary structure elements. Bioinformatics. 2019;36(8):2417-2428. doi:10.1093/bioinformatics/btz826. PMID:31742326.

PMID: 31742326
Funding: - German Federal Ministry for Education and Research [BMBF, Medizinische Chemie in Dortmund, TU Dortmund University: BMBF 1316053