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Effective conformational search methods for biological macromolecules

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dc.contributor.author Çelik, T.
dc.date.accessioned 2017-06-13T10:35:12Z
dc.date.available 2017-06-13T10:35:12Z
dc.date.issued 2007
dc.identifier.citation Effective conformational search methods for biological macromolecules / T. Çelik // Физика низких температур. — 2007. — Т. 33, № 9. — С. 1052–1054. — Бібліогр.: 9 назв. — англ. uk_UA
dc.identifier.issn 0132-6414
dc.identifier.other PACS: 02.70.Uu, 82.20.Wt
dc.identifier.uri http://dspace.nbuv.gov.ua/handle/123456789/120928
dc.description.abstract The configuration space of many complex physical systems presents a rough energy landscape consisting of tremendous number of local minima separated by high energy barriers. One way to overcome these barriers is to perform the simulation in a generalized-ensemble where each state is weighted by a non-Boltzmann probability weight factor. Multicanonical Ensemble Approach overcomes this difficulty by performing a random walk in one-dimensional energy space. Our attempts to design hybrid generalized ensemble algorithms will be reported. The folding of a protein into its native structure involves one or more transitions between distinct phases. The representation of the energy landscape would be useful for the determination of the conformational transition temperatures. Such a study would lead to clear indications of the equilibrium conformations of proteins and provide a detailed picture of the folding pathway. The topographic structure of energy landscape of short peptides will be presented. uk_UA
dc.language.iso en uk_UA
dc.publisher Фізико-технічний інститут низьких температур ім. Б.І. Вєркіна НАН України uk_UA
dc.relation.ispartof Физика низких температур
dc.subject International Conference "Statistical Physics 2006. Condensed Matter: Theory and Application" uk_UA
dc.title Effective conformational search methods for biological macromolecules uk_UA
dc.type Article uk_UA
dc.status published earlier uk_UA


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