title: Energy landscapes and solved protein-folding problems.
abstract: Energy-landscape theory has led to much progress in protein folding kinetics, protein structure prediction and protein design. Funnel landscapes describe protein folding and binding and explain how protein topology determines kinetics. Landscape-optimized energy functions based on bioinformatic input have been used to correctly predict low-resolution protein structures and also to design novel proteins automatically.
authors.affiliation: Department of Chemistry and Biochemistry, Center for Theoretical Biological Physics, University of California, San Diego, 6202 Urey Hall 0371, 9500 Gilman Drive, La Jolla, California, USA. pwolynes@ucsd.edu
authors.forename: Peter G
authors.initials: PG
authors.lastname: Wolynes
mesh_terms: D003198:Computer Simulation; D004735:Energy Transfer; D008956:Models, Chemical; D008958:Models, Molecular; D046912:Multiprotein Complexes / Q000737:chemistry*; D044367:Phase Transition; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*; D013696:Temperature
chemical_list: D046912:Multiprotein Complexes; D011506:Proteins