Quantitative Elements of General Biology: A Dynamical Systems Approach
Autor Ivan Malyen Limba Engleză Paperback – 30 aug 2022
This is an ideal book for students (in the broadest sense) of biology who wish to learn from this attempt to present the exemplary models, their methodological lessons, and the outline of a unified theory of living matter that is now beginning to emerge. In addition to a doctoral student preparing for quantitative biology research, this reader could also be an interdisciplinary scientist transitioning to biology. The latter—for example, a physicist or an engineer—may be comfortable with the mathematical apparatus and prepared to quickly enter the intended area of work, but desires a broader foundation in biology from the quantitative perspective.
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Specificații
ISBN-13: 9783030791483
ISBN-10: 3030791483
Ilustrații: VII, 200 p. 62 illus., 17 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030791483
Ilustrații: VII, 200 p. 62 illus., 17 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Chapter 1. Introduction
1.1. Subject of general biology
1.2. Goals of the quantitative approach
1.3. Physical-chemical basis of life
Chapter 2. Darwinian dynamics
2.1. Quasi-species theory
2.2. Natural selection in subcellular dynamics
Chapter 3. Homeostasis
3.1. Control processes
3.2. Regime-switch models
Chapter 4. Cellular organization
4.1. Self-centering
4.2. Symmetry-breaking
4.3. Emergent mechanical irreversibility
4.4. Dissipative oscillations
Chapter 5. Multicellular form and movement
5.1. Symmetry: folds and axes 5.2. Spaced foci and segmentation
5.3. Waves and cyclic motion
Chapter 6. Inter-species and planetary-scale dynamics
6.1. Stability and instability in population models
6.2. Steady states and cycles of interacting populations
6.3. Generational models and chaos 6.4. Dynamics of spatial interaction patterns
1.2. Goals of the quantitative approach
1.3. Physical-chemical basis of life
Chapter 2. Darwinian dynamics
2.1. Quasi-species theory
2.2. Natural selection in subcellular dynamics
Chapter 3. Homeostasis
3.1. Control processes
3.2. Regime-switch models
Chapter 4. Cellular organization
4.1. Self-centering
4.2. Symmetry-breaking
4.3. Emergent mechanical irreversibility
4.4. Dissipative oscillations
Chapter 5. Multicellular form and movement
5.1. Symmetry: folds and axes 5.2. Spaced foci and segmentation
5.3. Waves and cyclic motion
Chapter 6. Inter-species and planetary-scale dynamics
6.1. Stability and instability in population models
6.2. Steady states and cycles of interacting populations
6.3. Generational models and chaos 6.4. Dynamics of spatial interaction patterns
Notă biografică
Ivan Maly earned his PhD in the Life Sciences from Northwestern University. After a research stint in the Biological Engineering Division at MIT, he became a founding member of the Department of Computational and Systems Biology at the University of Pittsburgh School of Medicine. Now at the State University of New York, he continues his experimental and computational cell-biological research while maintaining a broad interest in quantitative biology and problems of knowledge integration. His earlier books are Systems Biology (Springer, 2009) and Systems Biomechanics of the Cell (Springer, 2013).
Textul de pe ultima copertă
This monograph sketches out a broad spectrum of problems (from evolution and metabolism to morphogenesis and biogeographical dynamics) whose solution has been impacted by mathematical models. Each of the selected examples has led to the recognition—and set direction to further study—of certain fundamental but unintuitive properties of biological systems, such as the making and breaking of specific symmetries that underlie morphogenesis. Whether they are long-established or only recently accepted, these models are selected for being thought-provoking and illuminating both the achievements and the gaps in our current understanding of the given area of biology. The selection of models is also meant to bring to the fore the existing degree of unity in the quantitative approach to diverse general-biological questions and in the systems-level properties that are discovered across the levels of biological organization. It is the thesis of this book that further cultivation of such unity is a way forward as we progress toward a general theory of living matter.
This is an ideal book for students (in the broadest sense) of biology who wish to learn from this attempt to present the exemplary models, their methodological lessons, and the outline of a unified theory of living matter that is now beginning to emerge. In addition to a doctoral student preparing for quantitative biology research, this reader could also be an interdisciplinary scientist transitioning to biology. The latter—for example, a physicist or an engineer—may be comfortable with the mathematical apparatus and prepared to quickly enter the intended area of work, but desires a broader foundation in biology from the quantitative perspective.
This is an ideal book for students (in the broadest sense) of biology who wish to learn from this attempt to present the exemplary models, their methodological lessons, and the outline of a unified theory of living matter that is now beginning to emerge. In addition to a doctoral student preparing for quantitative biology research, this reader could also be an interdisciplinary scientist transitioning to biology. The latter—for example, a physicist or an engineer—may be comfortable with the mathematical apparatus and prepared to quickly enter the intended area of work, but desires a broader foundation in biology from the quantitative perspective.
Caracteristici
Describes the goals of the quantitative approach to biology as well as the physical-chemical basis of life
Applies a dynamical systems approach to Darwinian dynamics, homeostasis, cellular organization, and multicellular form and movement
Provides coverage of inter-species and planetary-scale dynamics, including stability and instability in population models
Applies a dynamical systems approach to Darwinian dynamics, homeostasis, cellular organization, and multicellular form and movement
Provides coverage of inter-species and planetary-scale dynamics, including stability and instability in population models