title: MOPED: method for optimizing physical energy parameters using decoys.
abstract: We present a method called MOPED for optimizing energetic and structural parameters in computational models, including all-atom energy functions, when native structures and decoys are given. The present method goes beyond previous approaches in treating energy functions that are nonlinear in the parameters and continuous in the degrees of freedom. We illustrate the method by improving solvation parameters in the energy function EEF1, which consists of the CHARMM19 polar hydrogen force field augmented by a Gaussian solvation term. Although the published parameters for EEF1 correctly discriminate the native from decoys in the decoy sets of Levitt et al., they fail on several of the more difficult decoy sets of Baker et al. MOPED successfully finds improved parameters that allow EEF1 to discriminate native from decoy structures on all protein structures that do not have metals or prosthetic groups.
authors.affiliation: Department of Pharmaceutical Chemistry, University of California in San Francisco, San Francisco, California 94118, USA.
authors.forename: Chaok
authors.initials: C
authors.lastname: Seok
authors.forename: J B
authors.initials: JB
authors.lastname: Rosen
authors.forename: John D
authors.initials: JD
authors.lastname: Chodera
authors.forename: Ken A
authors.initials: KA
authors.lastname: Dill
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D008962:Models, Theoretical; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins