| dc.creator |
Hansmann Ulrich H.E. |
|
| dc.creator |
Okamoto Yuko |
|
| dc.date |
1999 |
|
| dc.date.accessioned |
2013-05-29T22:53:49Z |
|
| dc.date.available |
2013-05-29T22:53:49Z |
|
| dc.date.issued |
2013-05-30 |
|
| dc.identifier |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97331999000100017 |
|
| dc.identifier |
http://www.doaj.org/doaj?func=openurl&genre=article&issn=01039733&date=1999&volume=29&issue=1&spage=187 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/jspui/handle/123456789/2549 |
|
| dc.description |
We review uses of Tsallis statistical mechanics in the protein folding problem. Monte Carlo simulated annealing algorithm and generalized-ensemble algorithm with both Monte Carlo and stochastic dynamics algorithms are discussed. Simulations by these algorithms are performed for a penta peptide, Met-enkephalin. In particular, for generalized-ensemble algorithms, it is shown that from only one simulation run one can find the global-minimum-energy conformation and obtain probability distributions in canonical ensemble for a wide temperature range, which allows the calculation of any thermodynamic quantity as a function of temperature. |
|
| dc.publisher |
Sociedade Brasileira de Física |
|
| dc.source |
Brazilian Journal of Physics |
|
| dc.title |
Tackling the protein folding problem by a generalized-ensemble approach with Tsallis statistics |
|