Ringer
Ringer detects alternate protein conformations by systematically sampling electron density around protein side-chain dihedral angles in X-ray electron density maps to uncover lowly populated rotamers.
Key Features:
- Systematic dihedral sampling: Samples electron density around side-chain dihedral angles to reveal alternate rotamers.
- Detection of weak features: Identifies weak, nonrandom electron-density peaks indicative of low-occupancy alternate conformations.
- Statistical validation: Reports statistical significance for detected peaks with values as low as P < 10^(-5).
- Model-bias-free analysis: Analyzes accurate electron density maps devoid of model bias to confirm weak densities.
- Sensitivity below conventional cutoff: Extends signal detection below the conventional 1 sigma cutoff used in electron density maps.
- Large-scale demonstration: Applied across a dataset of 402 protein structures.
- Linkage to functional states: Enables correlation of detected alternate conformations with ligand interactions and ensemble shifts.
Scientific Applications:
- Ensemble analysis: Reveals shifts in structural ensembles that reflect alternative conformational states.
- Ligand recognition studies: Connects alternate rotamers to ligand recognition and binding-site variability.
- Protein function and folding: Elucidates mechanisms of protein folding and function that depend on conformational flexibility.
- Structural case study — calmodulin: Applied to high-resolution free and peptide-bound calmodulin structures to show alternate conformations integral to ligand interaction.
- Structure-based design: Informs structural biology and drug design by identifying dynamic conformational states within binding sites.
Methodology:
Systematic sampling of electron densities around side-chain dihedral angles across 402 protein structures, analysis of electron density maps devoid of model bias, statistical evaluation of peaks (P < 10^(-5)), and detection of signal below the conventional 1 sigma cutoff.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Lang PT, Ng H, Fraser JS, Corn JE, Echols N, Sales M, Holton JM, Alber T. Automated electron‐density sampling reveals widespread conformational polymorphism in proteins. Protein Science. 2010;19(7):1420-1431. doi:10.1002/pro.423. PMID:20499387. PMCID:PMC2974833.