Abstract:
: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.
journal_name
Nat Methodsjournal_title
Nature methodsauthors
DiMaio F,Song Y,Li X,Brunner MJ,Xu C,Conticello V,Egelman E,Marlovits T,Cheng Y,Baker Ddoi
10.1038/nmeth.3286subject
Has Abstractpub_date
2015-04-01 00:00:00pages
361-365issue
4eissn
1548-7091issn
1548-7105journal_volume
12pub_type
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