| Literature DB >> 28430426 |
Rebecca F Alford1, Andrew Leaver-Fay2, Jeliazko R Jeliazkov3, Matthew J O'Meara4, Frank P DiMaio5, Hahnbeom Park6, Maxim V Shapovalov7, P Douglas Renfrew8,9, Vikram K Mulligan6, Kalli Kappel10, Jason W Labonte1, Michael S Pacella11, Richard Bonneau8,9, Philip Bradley12, Roland L Dunbrack7, Rhiju Das10, David Baker6,13, Brian Kuhlman2, Tanja Kortemme14, Jeffrey J Gray1,3.
Abstract
Over the past decade, the Rosetta biomolecular modeling suite has informed diverse biological questions and engineering challenges ranging from interpretation of low-resolution structural data to design of nanomaterials, protein therapeutics, and vaccines. Central to Rosetta's success is the energy function: a model parametrized from small-molecule and X-ray crystal structure data used to approximate the energy associated with each biomolecule conformation. This paper describes the mathematical models and physical concepts that underlie the latest Rosetta energy function, called the Rosetta Energy Function 2015 (REF15). Applying these concepts, we explain how to use Rosetta energies to identify and analyze the features of biomolecular models. Finally, we discuss the latest advances in the energy function that extend its capabilities from soluble proteins to also include membrane proteins, peptides containing noncanonical amino acids, small molecules, carbohydrates, nucleic acids, and other macromolecules.Entities:
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Year: 2017 PMID: 28430426 PMCID: PMC5717763 DOI: 10.1021/acs.jctc.7b00125
Source DB: PubMed Journal: J Chem Theory Comput ISSN: 1549-9618 Impact factor: 6.006