title: SHARPEN-systematic hierarchical algorithms for rotamers and proteins on an extended network.
abstract: Algorithms for discrete optimization of proteins play a central role in recent advances in protein structure prediction and design. We wish to improve the resources available for computational biologists to rapidly prototype such algorithms and to easily scale these algorithms to many processors. To that end, we describe the implementation and use of two new open source resources, citing potential benefits over existing software. We discuss CHOMP, a new object-oriented library for macromolecular optimization, and SHARPEN, a framework for scaling CHOMP scripts to many computers. These tools allow users to develop new algorithms for a variety of applications including protein repacking, protein-protein docking, loop rebuilding, or homology model remediation. Particular care was taken to allow modular energy function design; protein conformations may currently be scored using either the OPLSaa molecular mechanical energy function or an all-atom semiempirical energy function employed by Rosetta.
authors.affiliation: Division of Engineering and Applied Science, California Institute of Technology, 1200 E. California Blvd., MC 210-41, Pasadena, California 91125, USA.
authors.forename: Ilya V
authors.initials: IV
authors.lastname: Loksha
authors.forename: James R
authors.initials: JR
authors.lastname: Maiolo
authors.forename: Cheng W
authors.initials: CW
authors.lastname: Hong
authors.forename: Albert
authors.initials: A
authors.lastname: Ng
authors.forename: Christopher D
authors.initials: CD
authors.lastname: Snow
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D008958:Models, Molecular; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism*; D012984:Software
chemical_list: D011506:Proteins