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.