Automated structure refinement of macromolecular assemblies from cryo-EM maps using Rosetta
University of Washington · Seattle University · +1 more institution
Abstract
Cryo-EM has revealed the structures of many challenging yet exciting macromolecular assemblies at near-atomic resolution (3-4.5Å), providing biological phenomena with molecular descriptions. However, at these resolutions, accurately positioning individual atoms remains challenging and error-prone. Manually refining thousands of amino acids - typical in a macromolecular assembly - is tedious and time-consuming. We present an automated method that can improve the atomic details in models that are manually built in near-atomic-resolution cryo-EM maps. Applying the method to three systems recently solved by cryo-EM, we are able to improve model geometry while maintaining the fit-to-density. Backbone placement…
Citation impact
- FWCI
- 76.08
- Percentile
- 100%
- References
- 27
Authors
6Topics & keywords
- Resolution (logic)
- Computer science
- Macromolecule
- Algorithm
- Process (computing)
- Biological system
- Convergence (economics)
- Chemistry