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Record Nr. |
UNINA9910299992903321 |
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Autore |
Santillán Moisés |
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Titolo |
Chemical Kinetics, Stochastic Processes, and Irreversible Thermodynamics / / by Moisés Santillán |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (139 p.) |
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Collana |
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Lecture Notes on Mathematical Modelling in the Life Sciences, , 2193-4789 |
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Disciplina |
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Soggetti |
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Biomathematics |
Probabilities |
Chemometrics |
Mathematical and Computational Biology |
Probability Theory and Stochastic Processes |
Math. Applications in Chemistry |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Brief Introduction to Chemical Kinetics -- Brief Introduction to Thermodynamics -- Different Approaches to Analyzing a Simple Chemical Reaction -- Molecule Synthesis and Degradation -- Enzymatic Reactions -- Receltor-Ligand Interaction -- Cooperativity -- Gene Expression and Regulation -- Ion Channel Dynamics and Ion Transport Across Memberanes -- References -- Index. |
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Sommario/riassunto |
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This book brings theories in nonlinear dynamics, stochastic processes, irreversible thermodynamics, physical chemistry, and biochemistry together in an introductory but formal and comprehensive manner. Coupled with examples, the theories are developed stepwise, starting with the simplest concepts and building upon them into a more general framework. Furthermore, each new mathematical derivation is immediately applied to one or more biological systems. The last chapters focus on applying mathematical and physical techniques to study systems such as: gene regulatory networks and ion channels. The target audience of this book are mainly final year undergraduate and |
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graduate students with a solid mathematical background (physicists, mathematicians, and engineers), as well as with basic notions of biochemistry and cellular biology. This book can also be useful to students with a biological background who are interested in mathematical modeling, and have a working knowledge of calculus, differential equations, and a basic understanding of probability theory. |
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