Statistical mechanics of protein folding with separable energy functions

Biopolymers ◽  
2004 ◽  
Vol 74 (3) ◽  
pp. 214-220 ◽  
Author(s):  
Jianyong Wang ◽  
Gordon M. Crippen
Keyword(s):  
Protein Folding ◽  
Statistical Mechanics ◽  
Energy Functions

scholarly journals Statistical Mechanics Model for Protein Folding

2009 ◽  
Author(s):  
Alexander Yakubovich ◽  
Andrey V. Solov’yov ◽  
Walter Greiner ◽  
Andrey Solov́yov ◽  
Eugene Surdutovich
Keyword(s):  
Protein Folding ◽  
Statistical Mechanics ◽  
Mechanics Model

scholarly journals Statistical mechanics of simple models of protein folding and design

1997 ◽  
Vol 73 (6) ◽  
pp. 3192-3210 ◽  
Author(s):  
V.S. Pande ◽  
A.Y. Grosberg ◽  
T. Tanaka
Keyword(s):  
Protein Folding ◽  
Statistical Mechanics ◽  
Simple Models

Energy landscapes and solved protein–folding problems

2004 ◽  
Vol 363 (1827) ◽  
pp. 453-467 ◽  
Author(s):  
Peter G. Wolynes
Keyword(s):  
Protein Folding ◽  
Protein Design ◽  
Structure Prediction ◽  
Energy Landscape ◽  
Protein Structures ◽  
Energy Landscapes ◽  
Folding Kinetics ◽  
Energy Functions ◽  
Energy Landscape Theory ◽  
Novel Proteins

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.

Sign in / Sign up

Export Citation Format

Share Document