Mathematical Modelling of BiosystemsRubem P. Mondaini, Panos M. Pardalos Springer Science & Business Media, 23 февр. 2008 г. - Всего страниц: 305 This volume is an interdisciplinary book which introduces, in a very readable way, state-of-the-art research in the fundamental topics of mathematical modelling of Biosystems. In short, the book offers an overview of mathematical and computational modelling of biosystems including biological phenomena in general. There is also a special introduction to Protein Physics which aims to explain the all-or-none first order phase transitions from native to denatured states. |
Содержание
| 1 | |
A Model of Pattern Coupled to Form in Metazoans | 45 |
Mathematical Modeling of HIV1 Infection and Drug Therapy | 87 |
An Improved Heuristic for Consistent Biclustering Problems | 184 |
Artyom Nahapetyan Stanislav Busygin Panos Pardalos 185 | 199 |
Phenotypic Switching and Mutation in the Presence of | 221 |
From Spatial Pattern in the Distribution and Abundance | 243 |
Protein Structure and Its Folding Rate | 273 |
Index | 302 |
Другие издания - Просмотреть все
Mathematical Modelling of Biosystems Rubem P. Mondaini,Panos M. Pardalos Недоступно для просмотра - 2010 |
Mathematical Modelling of Biosystems Rubem P. Mondaini,Panos M. Pardalos Недоступно для просмотра - 2008 |
Часто встречающиеся слова и выражения
activation allowed assumed biclustering Biology cells changes computational consider consistent constraints corresponding defined density depends derived determined discussed distance distribution drug drug resistance dynamics effect efficacy elastic energy equations equilibrium example exists expression Figure folding formulation function genes given global growth human increases indicated individuals infected infected cells inhibitor initial interaction leads ligand linear mathematical means mechanism mutation native Nature observed obtained optimization original parameters pathways pattern position possible predictions present probability problem production protein receptor regions represent residues resistance respectively samples scale selection sequence shape shown shows signaling solution spatial species stable steady stem cells strain stress structure surface Table template theory therapy tion treatment values variables viral virus
Популярные отрывки
Стр. 128 - RF (1999). Latent infection of CD4+ T cells provides a mechanism for lifelong persistence of HIV-1, even in patients on effective combination therapy.
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