title: Energy minimizations with a combination of two knowledge-based potentials for protein folding.
abstract: New force fields that are both simple and accurate are needed for computationally efficient molecular simulation studies to give insight into the actual features of the protein folding process. In this work, we assess a force field based on a new combination of two coarse-grained potentials taken from the bibliography. These potentials have already been proved efficient in representing different types of interactions, namely the side-chain interactions and the backbone hydrogen bonds. Now we combine them weighing their contribution to the global energy with a very simplified parameterization. To assess this combination of potentials, we use our evolutionary method to carry out energy minimization experiments for a set of all-alpha, all-beta, and (alpha + beta) protein structures. Our results, based on the assembly of short rigid native fragments, suggest that this combination of potentials can be successfully employed in coarse-grained folding simulations.
authors: Departamento de Quĩmica Fĩsica I, Universidad Complutense, Madrid, Spain.
authors: David
authors: D
authors: de Sancho
authors: Antonio
authors: A
authors: Rey
mesh_terms: D000465:Algorithms; D006860:Hydrogen Bonding; D008956:Models, Chemical; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*; D013816:Thermodynamics
chemical_list: D011506:Proteins