𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Protein folding: Structure prediction and statistical mechanics

✍ Scribed by Masataka Fukugita


Book ID
113392645
Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
652 KB
Volume
30
Category
Article
ISSN
0920-5632

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Statistical mechanics of protein folding
✍ Gordon M. Crippen; Yoshiaki Zenmei Ohkubo πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 216 KB πŸ‘ 2 views

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

Statistical mechanics of protein folding
✍ Jianyong Wang; Gordon M. Crippen πŸ“‚ Article πŸ“… 2004 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 104 KB πŸ‘ 1 views

## 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

Statistical mechanics of protein folding
✍ Gordon M. Crippen πŸ“‚ Article πŸ“… 2004 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 166 KB πŸ‘ 1 views

## 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

Protein structure prediction:playing the
✍ Tim Humbbard; Jong Park; Armin Lahm; Raphael Leplae; Anna Tramontano πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 336 KB
Folding funnels: The key to robust prote
✍ Corey Hardin; Michael P. Eastwood; Michael Prentiss; Z. Luthey-Schulten; Peter G πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 998 KB

## 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 low‐resolution predictions is also dependent on