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Mathematical Biology and Biological Physics

by Mondaini Rubem P

Mathematical methods across biology and biophysics

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Hardcover New English

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AlbakiReads Editorial

Mathematical methods across biology and biophysics

Bringing mathematical and biological sciences together, this collection ranges from foundational modelling topics to research on specific biological systems. Its coverage includes growth and agglomeration, algebraic approaches to the genetic code, biochemical pathways, and reaction-diffusion models of somitogenesis. Further contributions address infectious-disease and malaria modelling, ecological and epidemiological stability, viral infection in bee colonies, protein structure and motion, and the biophysical modelling of physiological disorders. The book also includes work on recognizing probability distributions of amino acids. This breadth makes the volume a cross-disciplinary survey of mathematical tools and research problems spanning molecular, physiological, ecological, and population-level questions.

Good fit for readers who enjoy

  • Research students in mathematical biology or biological physics
  • Professional practitioners working with biological or biomedical models
  • Scientists from other fields exploring interdisciplinary applications of mathematics in biology

Themes

Mathematical modelling in biologyBiological physicsInfectious disease and epidemiologyGenetics and biochemical systemsProtein structure and motion

Based on publisher information and book metadata.

Book overview

This is a book on interdisciplinary topics of the Mathematical and Biological Sciences. The treatment is both pedagogical and advanced in order to motivate research students as well as to fulfill the requirements of professional practitioners. There are comprehensive reviews written by senior experts on the important problems of growth and agglomeration in biology, on the algebraic modelling of the genetic code and on multi-step biochemical pathways.

There are new results on the state of the art research in the pattern recognition of probability distribution of amino acids, on somitogenesis through reaction-diffusion models, on the mathematical modelling of infectious diseases, on the biophysical modelling of physiological disorders, on the sensitive analysis of parameters of malaria models, on the stability and hopf bifurcation of ecological and epidemiological models, on the viral infection of bee colonies and on the structure and motion of proteins. All these contributions are also strongly recommended to professionals from other scientific areas aiming to work on these interdisciplinary fields.

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