It is hard to construct theories for the folding of globular proteins because they are large and complicated molecules having enormous numbers of nonnative conformations and having native states that are complicated to describe. Statistical mechanical theories of protein folding are constructed arou
Protein folding: Structure prediction and statistical mechanics
β Scribed by Masataka Fukugita
- Book ID
- 113392645
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 652 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0920-5632
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π SIMILAR VOLUMES
## Abstract We have initiated an entirely new approach to statistical mechanical models of strongly interacting systems where the configurational parameters and the potential energy function are both constructed so that the canonical partition function can be evaluated analytically. For a simplifie
## Abstract This is our second type of model for protein folding where the configurational parameters and the effective potential energy function are chosen in such a way that all conformations are described and the canonical partition function can be evaluated analytically. Structure is described
## Abstract Natural proteins fold because their free energy landscapes are funneled to their native states. The degree to which a model energy function for protein structure prediction can avoid the multiple minima problem and reliably yield at least lowβresolution predictions is also dependent on