bioRxivJClub
Decision benchmarking of cryo-EM re-refinement
bioRxiv · · Preprint · Open access
Yi, Zhang + 2 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
In a prespecified 3.0–3.6 Å cryo-EM re-refinement cohort (167 entries; 131 sequence groups), highest-correlation selection increased chi1 disagreement by 2.4° (95% CI 2.1–2.7°) versus retaining the deposited model.
- Why it matters: Map fit selection is commonly used during re-refinement, but its effect relative to doing nothing is unclear, especially when judged against higher-resolution side-chain agreement.
- What they did: The study benchmarked selection rules against a no-operation baseline using packed-side-chain agreement with higher-resolution references, including a half-map withheld selection test.
- The result: Half-map withheld selection increased chi1 disagreement by 2.29° (1.70–2.97°; 99 entries), and in 53 low/high-resolution pairs the losses were 3.43° and 2.35°, enabling Primum to benchmark refiners and selection rules.
The findingWhy it mattersWhat they didThe result
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