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

Journal of Chemical Theory and Computation · 2017 · Vol. 13(6) · pp. 3031–3048
Rebecca F. AlfordAndrew Leaver‐FayJeliazko R. JeliazkovMatthew J. O’MearaFrank DiMaioHahnbeom ParkMaxim V. ShapovalovP. Douglas RenfrewVikram Khipple MulliganKalli KappelJason W. LabonteMichael S. PacellaRichard BonneauPhilip BradleyRoland L. DunbrackRhiju DasDavid BakerBrian KuhlmanTanja KortemmeJeffrey J. Gray

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.

Protein Structure and DynamicsRNA and protein synthesis mechanismsEnzyme Structure and FunctionBiomoleculeMacromoleculeFunction (biology)Energy (signal processing)Nucleic acidResolution (logic)Computer scienceNanotechnologyComputational biologyChemistry

MeSH terms

MutationProtein ConformationThermodynamicsHIV ProteaseMacromolecular SubstancesStatic ElectricityMolecular Dynamics Simulation

Funding

  • National Science Foundation
  • Simons Foundation
  • Hertz Foundation
  • National Cancer Institute
  • National Institute of General Medical Sciences
  • Division of Materials Research
Citations
1,506
FWCI
41.87
field-weighted impact
References
119
Percentile
100%
vs. same field & year
Citations per year
References
Satisfying Hydrogen Bonding Potential in Proteins
Journal of Molecular Biology · 1994 · 2,130 citations
DREIDING: a generic force field for molecular simulations
The Journal of Physical Chemistry · 1990 · 6,462 citations
The Protein Data Bank
Nucleic Acids Research · 2000 · 39,191 citations
CHARMM: The biomolecular simulation program
Journal of Computational Chemistry · 2009 · 8,960 citations
Effective energy function for proteins in solution
Proteins Structure Function and Bioinformatics · 1999 · 1,283 citations
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