Mathematical Biology

Last updated
Mathematical Biology I: An Introduction
Author James D. Murray
CountryUnited States
LanguageEnglish
Subject Mathematical biology
Publisher Springer
Publication date
  • 1989
  • Second edition in 1993
  • Third edition in 2002
Media typePrint
Pages551
ISBN 0-387-95223-3

Mathematical Biology is a two-part monograph on mathematical biology first published in 1989 by the applied mathematician James D. Murray. It is considered to be a classic in the field [1] and sweeping in scope. [2]

Contents

Mathematical Biology II: Spatial Models and Biomedical Applications
Author James D. Murray
CountryUnited States
LanguageEnglish
Subject Mathematical biology
Publisher Springer
Publication date
  • 1989
  • Second edition in 1993
  • Third edition in 2003
Media typePrint
Pages811
ISBN 0-387-95228-4

Part I: An Introduction

Part I of Mathematical Biology covers population dynamics, reaction kinetics, oscillating reactions, and reaction-diffusion equations.

Part II: Spatial Models and Biomedical Applications

Part II of Mathematical Biology focuses on pattern formation and applications of reaction-diffusion equations. Topics include: predator-prey interactions, chemotaxis, wound healing, epidemic models, and morphogenesis.

Impact

Since its initial publication, the monograph has come to be seen as a highly influential work in the field of mathematical biology. It serves as the essential text for most high level mathematical biology courses around the world, and is credited with transforming the field from a niche subject into a standard research area of applied mathematics. [10]

Related Research Articles

<span class="mw-page-title-main">Chemotaxis</span> Movement of an organism or entity in response to a chemical stimulus

Chemotaxis is the movement of an organism or entity in response to a chemical stimulus. Somatic cells, bacteria, and other single-cell or multicellular organisms direct their movements according to certain chemicals in their environment. This is important for bacteria to find food by swimming toward the highest concentration of food molecules, or to flee from poisons. In multicellular organisms, chemotaxis is critical to early development and development as well as in normal function and health. In addition, it has been recognized that mechanisms that allow chemotaxis in animals can be subverted during cancer metastasis. The aberrant chemotaxis of leukocytes and lymphocytes also contribute to inflammatory diseases such as atherosclerosis, asthma, and arthritis. Sub-cellular components, such as the polarity patch generated by mating yeast, may also display chemotactic behavior.

<span class="mw-page-title-main">Skin</span> Soft outer covering organ of vertebrates

Skin is the layer of usually soft, flexible outer tissue covering the body of a vertebrate animal, with three main functions: protection, regulation, and sensation.

<span class="mw-page-title-main">Handicap principle</span> Hypothesis in evolutionary biology

The handicap principle is a hypothesis proposed by the biologist Amotz Zahavi to explain how evolution may lead to "honest" or reliable signalling between animals which have an obvious motivation to bluff or deceive each other. It suggests that costly signals must be reliable signals, costing the signaller something that could not be afforded by an individual with less of a particular trait. For example, in sexual selection, the theory suggests that animals of greater biological fitness signal this status through handicapping behaviour, or morphology that effectively lowers this quality. The central idea is that sexually selected traits function like conspicuous consumption, signalling the ability to afford to squander a resource. Receivers then know that the signal indicates quality, because inferior-quality signallers are unable to produce such wastefully extravagant signals.

<span class="mw-page-title-main">Systems biology</span> Computational and mathematical modeling of complex biological systems

Systems biology is the computational and mathematical analysis and modeling of complex biological systems. It is a biology-based interdisciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach to biological research.

<span class="mw-page-title-main">Mathematical and theoretical biology</span> Branch of biology

Mathematical and theoretical biology, or biomathematics, is a branch of biology which employs theoretical analysis, mathematical models and abstractions of the living organisms to investigate the principles that govern the structure, development and behavior of the systems, as opposed to experimental biology which deals with the conduction of experiments to prove and validate the scientific theories. The field is sometimes called mathematical biology or biomathematics to stress the mathematical side, or theoretical biology to stress the biological side. Theoretical biology focuses more on the development of theoretical principles for biology while mathematical biology focuses on the use of mathematical tools to study biological systems, even though the two terms are sometimes interchanged.

Cell migration is a central process in the development and maintenance of multicellular organisms. Tissue formation during embryonic development, wound healing and immune responses all require the orchestrated movement of cells in particular directions to specific locations. Cells often migrate in response to specific external signals, including chemical signals and mechanical signals. Errors during this process have serious consequences, including intellectual disability, vascular disease, tumor formation and metastasis. An understanding of the mechanism by which cells migrate may lead to the development of novel therapeutic strategies for controlling, for example, invasive tumour cells.

<span class="mw-page-title-main">John Gottman</span> American psychologist

John Mordechai Gottman is an American psychologist, professor emeritus of psychology at the University of Washington. His work focuses on divorce prediction and marital stability through relationship analyses. The lessons derived from this work represent a partial basis for the relationship counseling movement that aims to improve relationship functioning and the avoidance of those behaviors shown by Gottman and other researchers to harm human relationships. His work has also had a major impact on the development of important concepts on social sequence analysis. He and his wife, psychologist Julie Schwartz Gottman, co-founded and lead a relationship company and therapist training entity called The Gottman Institute. They have also co-founded Affective Software Inc, a program designed to make marriage and relationship counseling methods and resources available to a larger audience.

<span class="mw-page-title-main">Pattern formation</span> Study of how patterns form by self-organization in nature

The science of pattern formation deals with the visible, (statistically) orderly outcomes of self-organization and the common principles behind similar patterns in nature.

Paulien Hogeweg is a Dutch theoretical biologist and complex systems researcher studying biological systems as dynamic information processing systems at many interconnected levels. In 1970, together with Ben Hesper, she defined the term bioinformatics as "the study of informatic processes in biotic systems".

<span class="mw-page-title-main">Reaction–diffusion system</span> Type of mathematical model

Reaction–diffusion systems are mathematical models which correspond to several physical phenomena. The most common is the change in space and time of the concentration of one or more chemical substances: local chemical reactions in which the substances are transformed into each other, and diffusion which causes the substances to spread out over a surface in space.

<span class="mw-page-title-main">French flag model</span> Biological model

The French flag model is a conceptual definition of a morphogen, described by Lewis Wolpert in the 1960s. A morphogen is defined as a signaling molecule that acts directly on cells to produce specific cellular responses dependent on morphogen concentration. During early development, morphogen gradients generate different cell types in distinct spatial order. French flag patterning is often found in combination with others: vertebrate limb development is one of the many phenotypes exhibiting Turing overlapped with a complementary pattern.

<span class="mw-page-title-main">The Chemical Basis of Morphogenesis</span> 1952 article written by English mathematician Alan Turing

"The Chemical Basis of Morphogenesis" is an article that the English mathematician Alan Turing wrote in 1952. It describes how patterns in nature, such as stripes and spirals, can arise naturally from a homogeneous, uniform state. The theory, which can be called a reaction–diffusion theory of morphogenesis, has become a basic model in theoretical biology. Such patterns have come to be known as Turing patterns. For example, it has been postulated that the protein VEGFC can form Turing patterns to govern the formation of lymphatic vessels in the zebrafish embryo.

<span class="mw-page-title-main">Lee Segel</span>

Lee Aaron Segel (1932–2005) was an applied mathematician primarily at the Rensselaer Polytechnic Institute and the Weizmann Institute of Science. He is particularly known for his work in the spontaneous appearance of order in convection, slime molds and chemotaxis.

<span class="mw-page-title-main">Turing pattern</span> Concept from evolutionary biology

The Turing pattern is a concept introduced by English mathematician Alan Turing in a 1952 paper titled "The Chemical Basis of Morphogenesis" which describes how patterns in nature, such as stripes and spots, can arise naturally and autonomously from a homogeneous, uniform state.

<span class="mw-page-title-main">Periodic travelling wave</span>

In mathematics, a periodic travelling wave is a periodic function of one-dimensional space that moves with constant speed. Consequently, it is a special type of spatiotemporal oscillation that is a periodic function of both space and time.

<span class="mw-page-title-main">Philip Maini</span> Northern Irish mathematician (born 1959)

Philip Kumar Maini is a Northern Irish mathematician. Since 1998, he has been the Professor of Mathematical Biology at the University of Oxford and is the director of the Wolfson Centre for Mathematical Biology in the Mathematical Institute.

Collective cell migration describes the movements of group of cells and the emergence of collective behavior from cell-environment interactions and cell-cell communication. Collective cell migration is an essential process in the lives of multicellular organisms, e.g. embryonic development, wound healing and cancer spreading (metastasis). Cells can migrate as a cohesive group or have transient cell-cell adhesion sites. They can also migrate in different modes like sheets, strands, tubes, and clusters. While single-cell migration has been extensively studied, collective cell migration is a relatively new field with applications in preventing birth defects or dysfunction of embryos. It may improve cancer treatment by enabling doctors to prevent tumors from spreading and forming new tumors.

The Cascade Model of Relational Dissolution is a relational communications theory that proposes four critically negative behaviors that lead to the breakdown of marital and romantic relationships. This model is the work of psychological researcher John Gottman, a professor at the University of Washington and founder of The Gottman Institute and his research partner Robert W. Levenson. This theory focuses on the negative influence of verbal and nonverbal communication habits on the success and/or failure of marriages and other relationships. Gottman's model uses a metaphor that compares the four negative communication styles that lead to the breakdown of a relationship to the biblical Four Horsemen of the Apocalypse, wherein each behavior, or horseman, compounds the problems of the previous, leading to the total breakdown of communication in a relationship.

<span class="mw-page-title-main">Run-and-tumble motion</span> Type of bacterial motion

Run-and-tumble motion is a movement pattern exhibited by certain bacteria and other microscopic agents. It consists of an alternating sequence of "runs" and "tumbles": during a run, the agent propels itself in a fixed direction, and during a tumble, it remains stationary while it reorients itself in preparation for the next run.

References

  1. Edelstein-Keshet, Leah (2004). Murray, James D. (ed.). "Featured Review: Mathematical Biology". SIAM Review. 46 (1): 143–147. ISSN   0036-1445. JSTOR   20453477.
  2. Bell, Jonathan G. (1990). "Mathematical Biology (J. D. Murray)". SIAM Review. 32 (3): 487–489. doi:10.1137/1032093. ISSN   0036-1445.
  3. Cook, J.; Tyson, R.; White, J.; Rushe, R.; Gottman, J.; Murray, J. (1995). "Mathematics of Marital Conflict: Qualitative Dynamic Mathematical Modeling of Marital Interaction". Journal of Family Psychology. 9 (2): 110–130. doi:10.1037/0893-3200.9.2.110. S2CID   122029386.
  4. Gottman, J.; Swanson, C.; Murray, J. (1999). "The Mathematics of Marital Conflict: Dynamic Mathematical Nonlinear Modeling of Newlywed Marital Interaction". Journal of Family Psychology. 13 (1): 3–19. doi:10.1037/0893-3200.13.1.3. S2CID   53410111.
  5. Murray, J. D.; Myerscough, M. R. (1991-04-07). "Pigmentation pattern formation on snakes". Journal of Theoretical Biology. 149 (3): 339–360. doi:10.1016/S0022-5193(05)80310-8. ISSN   0022-5193.
  6. Sherratt, Jonathan A.; Murray, James Dickson; Clarke, Bryan Campbell (1990-07-23). "Models of epidermal wound healing". Proceedings of the Royal Society of London. Series B: Biological Sciences. 241 (1300): 29–36. doi:10.1098/rspb.1990.0061. S2CID   20717487.
  7. Sherratt, J. A.; Murray, J. D. (1991-04-01). "Mathematical analysis of a basic model for epidermal wound healing". Journal of Mathematical Biology. 29 (5): 389–404. doi:10.1007/BF00160468. ISSN   1432-1416. PMID   1831488. S2CID   37551844.
  8. Swanson, Kristin R.; Bridge, Carly; Murray, J. D.; Alvord, Ellsworth C. (2003-12-15). "Virtual and real brain tumors: using mathematical modeling to quantify glioma growth and invasion". Journal of the Neurological Sciences. 216 (1): 1–10. doi:10.1016/j.jns.2003.06.001. ISSN   0022-510X. S2CID   15744550.
  9. Källén, A.; Arcuri, P.; Murray, J. D. (1985-10-07). "A simple model for the spatial spread and control of rabies". Journal of Theoretical Biology. 116 (3): 377–393. doi:10.1016/S0022-5193(85)80276-9. ISSN   0022-5193. PMID   4058027.
  10. Maini, Philip K.; Chaplain, Mark A. J.; Lewis, Mark A.; Sherratt, Jonathan A. (2021-12-04). "Special Collection: Celebrating J.D. Murray's Contributions to Mathematical Biology". Bulletin of Mathematical Biology. 84 (1): 13. doi: 10.1007/s11538-021-00955-8 . ISSN   1522-9602. PMID   34865189. S2CID   244897975.