Article 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. (Nature Methods, vol. 12, p. 361, 2015).
https://cyrusbio.com/wp-content/uploads/2015/02/4_Yifan_BW_Profile.jpg 300 300 Joe Ylagan https://cyrusbio.com/wp-content/uploads/CyrusLogoStaggeredWhite.svg Joe Ylagan2015-05-25 12:28:502015-06-09 05:48:45Yifan Song, Cyrus' Chief Science Officer, publishes work on improved cryo-electron-microscopy protein structures using Rosetta software in Nature Methods.