Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/123456789/2549
Title: Tackling the protein folding problem by a generalized-ensemble approach with Tsallis statistics
Issue Date: 30-May-2013
Publisher: Sociedade Brasileira de Física
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.
URI: http://koha.mediu.edu.my:8181/jspui/handle/123456789/2549
Other Identifiers: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97331999000100017
http://www.doaj.org/doaj?func=openurl&genre=article&issn=01039733&date=1999&volume=29&issue=1&spage=187
Appears in Collections:Physics and Astronomy

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