Recovering Conformational Heterogeneity from PDB at Scale: 60k Structures
CatAstro_Piyush · x · 2026-08-13
A new study leveraged the qFit tool to recover hidden conformational heterogeneity signals from the Protein Data Bank (PDB) at scale.
- Background: Experiments like X-ray crystallography and cryo-EM measure an ensemble of protein states, but conventional refinement collapses this signal into a single set of coordinates, losing underlying dynamics.
- Results: Researchers re-refined structures resolved better than 2 Å, generating over 60,000 multiconformer models.
- Significance: This represents the largest dataset of experimentally derived ensemble protein structural models to date. 83.7% of these models exhibit a lower Rfree compared to originally deposited PDB structures, providing valuable new training data for structural biology predictors.
More from Research
- GPT-5-pro Successfully Proves Open Math Problem from Optimization Paper — analisereal · 2026-08-13
- Human Video Data Significantly Boosts Robot Generalization — JasonMa2020 · 2026-08-13
- Mathematician's 1999 interview recording resurfaces, tied to video diffusion research — lpachter · 2026-08-13
- Stop Stacking Complex Modules: Vanilla Transformer Nails Small Molecule Docking — alex_peys · 2026-08-13
- Stanford AI Economic Indicators: Job Growth Slowest for Most AI-Exposed Occupations — erikbryn · 2026-08-13
- AI-Generated Scoops Are Poisoning Academic Research — analisereal · 2026-08-13