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-Structure paper
タイトル | Atomic-accuracy models from 4.5-Å cryo-electron microscopy data with density-guided iterative local refinement. |
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ジャーナル・号・ページ | Nat Methods, Vol. 12, Issue 4, Page 361-365, Year 2015 |
掲載日 | 2015年2月23日 |
著者 | Frank DiMaio / Yifan Song / Xueming Li / Matthias J Brunner / Chunfu Xu / Vincent Conticello / Edward Egelman / Thomas Marlovits / Yifan Cheng / David Baker / |
PubMed 要旨 | We describe a general approach for refining protein structure models on the basis of cryo-electron microscopy maps with near-atomic resolution. The method integrates Monte Carlo sampling with local ...We describe a general approach for refining protein structure models on the basis of cryo-electron microscopy maps with near-atomic resolution. The method integrates Monte Carlo sampling with local density-guided optimization, Rosetta all-atom refinement and real-space B-factor fitting. In tests on experimental maps of three different systems with 4.5-Å resolution or better, the method consistently produced models with atomic-level accuracy largely independently of starting-model quality, and it outperformed the molecular dynamics-based MDFF method. Cross-validated model quality statistics correlated with model accuracy over the three test systems. |
リンク | Nat Methods / PubMed:25707030 / PubMed Central |
手法 | EM (単粒子) |
解像度 | 4.1 - 6.0 Å |
構造データ | EMDB-6245: EMDB-6246: EMDB-6247: EMDB-6248: |
由来 |
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