Details

Autor(en) / Beteiligte

• Alford, Rebecca F
• Leaver-Fay, Andrew
• Jeliazkov, Jeliazko R
• O’Meara, Matthew J
• DiMaio, Frank P
• Park, Hahnbeom
• Shapovalov, Maxim V
• Renfrew, P. Douglas
• Mulligan, Vikram K
• Kappel, Kalli
• Labonte, Jason W
• Pacella, Michael S
• Bonneau, Richard
• Bradley, Philip
• Dunbrack, Roland L
• Das, Rhiju
• Baker, David
• Kuhlman, Brian
• Kortemme, Tanja
• Gray, Jeffrey J

Titel

The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design

Ist Teil von

• Journal of chemical theory and computation, 2017-06, Vol.13 (6), p.3031-3048

Ort / Verlag

United States: American Chemical Society

Erscheinungsjahr

2017

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.