Macromolecular Modeling with Rosetta
University of Washington · Howard Hughes Medical Institute
Abstract
Advances over the past few years have begun to enable prediction and design of macromolecular structures at near-atomic accuracy. Progress has stemmed from the development of reasonably accurate and efficiently computed all-atom potential functions as well as effective conformational sampling strategies appropriate for searching a highly rugged energy landscape, both driven by feedback from structure prediction and design tests. A unified energetic and kinematic framework in the Rosetta program allows a wide range of molecular modeling problems, from fibril structure prediction to RNA folding to the design of new protein interfaces, to be readily investigated and highlights areas for improvement. The…
Citation impact
- FWCI
- 27.51
- Percentile
- 100%
- References
- 92
Authors
2Topics & keywords
- Folding (DSP implementation)
- Computer science
- Energy landscape
- Macromolecule
- Protein structure prediction
- Range (aeronautics)
- Resolution (logic)
- Kinematics
- Affordable and clean energy