Twilight

Twilight analyzes protein-ligand complexes from X-ray crystallography deposited in the Protein Data Bank (PDB) to assess ligand model quality using the real-space correlation coefficient (RSCC).


Key Features:

  • Pre-filtered dataset: Operates on a curated set of 2,815 protein-ligand complexes from the PDB selected for ligand RSCC values below 0.6.
  • RSCC-based quality assessment: Uses the real-space correlation coefficient (RSCC) to quantify the fit between atom coordinates and electron-density maps for ligand model evaluation.
  • Visualization of annotated complexes: Provides visualization of protein-ligand complexes annotated by the Uppsala Electron Density Server to examine electron-density fit and molecular interactions.
  • Automation: Automates identification and processing of complexes with RSCC < 0.6 for downstream inspection.
  • Annotations integration: Incorporates annotations from the Uppsala Electron Density Server to enrich interpretation of electron-density interpretation challenges.

Scientific Applications:

  • Structural validation of ligand models: Enables detection and critical assessment of potentially biased or poorly modeled ligands based on RSCC.
  • Drug design and lead refinement: Supports identification of ligand models requiring re-evaluation during drug-design and lead-optimization efforts.
  • Analysis of electron-density interpretation biases: Facilitates study of how subjective interpretation of electron-density maps can affect ligand modeling.

Methodology:

Analyzes pre-filtered PDB entries using RSCC as the primary metric, automates identification and visualization of complexes with low RSCC, and integrates annotations from the Uppsala Electron Density Server.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Weichenberger CX, Pozharski E, Rupp B. Visualizing ligand molecules in twilight electron density. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 2013;69(2):195-200. doi:10.1107/s1744309112044387. PMID:23385767. PMCID:PMC3564628.

Documentation

Links