title: Coarse-grained peptide modeling using a systematic multiscale approach.
abstract: A systematic new approach to derive multiscale coarse-grained (MS-CG) models has been recently developed. The approach employs information from atomistically detailed simulations to derive CG forces and associated effective potentials. In this work, the MS-CG methodology is extended to study two peptides representing distinct structural motifs, alpha-helical polyalanine and the beta-hairpin V(5)PGV(5). These studies represent the first known application of this approach to peptide systems. Good agreement between the MS-CG and atomistic models is achieved for several structural properties including radial distribution functions, root mean-square deviation, and radius of gyration. The new MS-CG models are able to preserve the native states of these peptides within approximately 1 A backbone root mean-square deviation during CG simulations. The MS-CG approach, as with most coarse-grained models, has the potential to increase the length and timescales accessible to molecular simulations. However, it is also able to maintain a clear connection to the underlying atomistic-scale interactions.
authors.affiliation: Center for Biophysical Modeling and Simulation, Department of Chemistry, University of Utah, Salt Lake City, Utah.
authors.forename: Jian
authors.initials: J
authors.lastname: Zhou
authors.forename: Ian F
authors.initials: IF
authors.lastname: Thorpe
authors.forename: Sergey
authors.initials: S
authors.lastname: Izvekov
authors.forename: Gregory A
authors.initials: GA
authors.lastname: Voth
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008956:Models, Chemical; D008958:Models, Molecular; D010455:Peptides / Q000737:chemistry*; D011487:Protein Conformation
chemical_list: D010455:Peptides