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Books on the topic 'Systems biology model'

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Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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1

Kremling, Andreas. Systems biology: Mathematical modeling and model analysis. Boca Raton: CRC Press, 2014.

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2

R, Goldsmith Marian, and Wilkins A. S. 1945-, eds. Molecular model systems in the Lepidoptera. Cambridge [England]: Cambridge University Press, 2006.

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3

Kloc, Malgorzata, and Jacek Z. Kubiak, eds. Marine Organisms as Model Systems in Biology and Medicine. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92486-1.

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4

NATO Advanced Study Institute on Physical Methods on Biological Membranes and Their Model Systems (1982 Altavilla Milicia, Italy). Physical methods on biological membranes and their model systems. New York: Plenum Press, 1985.

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5

Antonella, Macagnano, ed. Advanced topics in cell model systems. Hauppauge, NY: Nova Science Publishers, 2009.

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6

service), ScienceDirect (Online, ed. Electron microscopy of model systems. Amsterdam: Academic Press/Elsevier, 2010.

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7

Sylvia, Nagl, ed. The role of model integration in complex systems modelling: An example from cancer biology. Berlin: Springer, 2010.

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8

Comeau, P. G. LITE: A model for estimating light under broadleaf and conifer tree canopies. Victoria, BC: British Columbia Ministry of Forests Research Program, 1998.

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9

Systems biology. New York: Humana Press, 2009.

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10

Isidore, Rigoutsos, and Stephanopoulos G, eds. Systems biology. New York: Oxford University Press, 2006.

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11

H, Nitecki Matthew, and Hoffman Antoni, eds. Neutral models in biology. New York: Oxford University Press, 1987.

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12

Kulkarni, Vishwesh V., Guy-Bart Stan, and Karthik Raman, eds. A Systems Theoretic Approach to Systems and Synthetic Biology I: Models and System Characterizations. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9041-3.

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13

Mathematical models of biological systems. Oxford: Oxford University Press, 2011.

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14

Stochastic modelling for systems biology. Boca Raton: Taylor & Francis, 2006.

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15

Wilkinson, Darren James. Stochastic modelling for systems biology. Boca Raton, FL: Chapman & Hall/CRC Press, 2007.

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16

1948-, Thieme Horst R., ed. Dynamical systems and population persistence. Providence, R.I: American Mathematical Society, 2011.

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17

1964-, Iglesias Pablo A., and Ingalls Brian P. 1974-, eds. Control theory and systems biology. Cambridge, MA: MIT Press, 2010.

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18

Wilkinson, Darren James. Stochastic modelling for systems biology. 2nd ed. Boca Raton: Taylor & Francis, 2012.

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19

Striedter, Georg. Model Systems in Biology. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14366.001.0001.

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How biomedical research using various animal species and in vitro cellular systems has resulted in both major successes and translational failure. In Model Systems in Biology, comparative neurobiologist Georg Striedter examines how biomedical researchers have used animal species and in vitro cellular systems to understand and develop treatments for human diseases ranging from cancer and polio to Alzheimer's disease and schizophrenia. Although there have been some major successes, much of this “translational” research on model systems has failed to generalize to humans. Striedter explores the history of such research, focusing on the models used and considering the question of model selection from a variety of perspectives—the philosophical, the historical, and that of practicing biologists. Striedter reviews some philosophical concepts and ethical issues, including concerns over animal suffering and the compromises that result. He traces the history of the most widely used animal and in vitro models, describing how they compete with one another in a changing ecosystem of models. He examines how therapies for bacterial and viral infections, cancer, cardiovascular diseases, and neurological disorders have been developed using animal and cell culture models—and how research into these diseases has both taken advantage of and been hindered by model system differences. Finally, Striedter argues for a “big tent” biology, in which a diverse set of models and research strategies can coexist productively.
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20

Goldstein, Robert (Bob), and Mansi Srivastava. Emerging Model Systems in Developmental Biology. Elsevier Science & Technology Books, 2022.

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21

Emerging Model Systems in Developmental Biology. Elsevier, 2022. http://dx.doi.org/10.1016/s0070-2153(22)x0003-3.

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22

Goldstein, Bob, and Mansi Srivastava. Emerging Model Systems in Developmental Biology. Elsevier Science & Technology, 2022.

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23

Kremling, Andreas. Systems Biology: Mathematical Modeling and Model Analysis. Taylor & Francis Group, 2013.

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24

Kremling, Andreas. Systems Biology: Mathematical Modeling and Model Analysis. Taylor & Francis Group, 2013.

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25

Kremling, Andreas. Systems Biology: Mathematical Modeling and Model Analysis. Taylor & Francis Group, 2013.

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26

Kremling, Andreas. Systems Biology: Mathematical Modeling and Model Analysis. Taylor & Francis Group, 2013.

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27

T, Romeo John, ed. Secondary metabolism in model systems. Amsterdam: Elsevier, 2004.

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28

Osiewacz, Heinz D., and Thomas Nyström. Model Systems in Aging. Springer, 2010.

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29

Creager, Angela N., Elizabeth Lunbeck, and M. Norton Wise. Science Without Laws: Model Systems, Cases, Exemplary Narratives. Duke University Press, 2007.

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30

Metz, Charles. Biology of Fertilization V1: Model Systems and Oogenesis. Elsevier Science & Technology Books, 2012.

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31

R, Goldsmith Marian, and Wilkins A. S. 1945-, eds. Molecular model systems in the Lepidoptera. Cambridge [England]: Cambridge University Press, 1995.

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32

(Editor), Marian R. Goldsmith, and Adam S. Wilkins (Editor), eds. Molecular Model Systems in the Lepidoptera. Cambridge University Press, 2006.

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33

Science without laws: Model systems, cases, exemplary narratives. Durham, NC: Duke University Press, 2008.

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34

Science without laws: Model systems, cases, exemplary narratives. Durham: Duke University Press, 2007.

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35

Creager, Angela N. H., Barbara Herrnstein Smith, Elizabeth Lunbeck, M. Norton Wise, and E. Roy Weintraub. Science Without Laws: Model Systems, Cases, Exemplary Narratives. Duke University Press, 2007.

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36

Kubiak, Jacek Z., and Malgorzata Kloc. Marine Organisms as Model Systems in Biology and Medicine. Springer, 2019.

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37

Striedter, Georg F. Model Systems in Biology: History, Philosophy, and Practical Concerns. MIT Press, 2022.

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38

Kubiak, Jacek Z., and Malgorzata Kloc. Marine Organisms as Model Systems in Biology and Medicine. Springer, 2018.

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39

Murakami, Shin, ed. Biology of Cognitive Aging: Model Systems, Technologies and Beyond. Frontiers Media SA, 2017. http://dx.doi.org/10.3389/978-2-88945-144-9.

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40

Henderson, Daniel A., R. J. Boys, Carole J. Proctor, and Darren J. Wilkinson. Linking systems biology models to data: A stochastic kinetic model of p53 oscillations. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.7.

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This article discusses the use of a stochastic kinetic model to study protein level oscillations in single living cancer cells, using the p53 and Mdm2 proteins as examples. It describes the refinement of a dynamic stochastic process model of the cellular response to DNA damage and compares this model to time course data on the levels of p53 and Mdm2. The article first provides a biological background on p53 and Mdm2 before explaining how the stochastic kinetic model is constructed. It then introduces the stochastic kinetic model and links it to the data and goes on to apply sophisticated MCMC methods to compute posterior distributions. The results demonstrate that it is possible to develop computationally intensive Markov chain Monte Carlo (MCMC) methods for conducting a Bayesian analysis of an intra-cellular stochastic systems biology model using single-cell time course data.
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41

Conti, F. Physical Methods on Biological Membranes and Their Model Systems. Springer, 1985.

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42

Conti, F. Physical Methods on Biological Membranes and Their Model Systems. Springer, 2012.

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43

Conti, F. Physical Methods on Biological Membranes and Their Model Systems. Springer, 2012.

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44

(Contributor), Carlo Ginzburg, Clifford Geertz (Contributor), E. Jane Albert Hubbard (Contributor), John Forrester (Contributor), Josiah Ober (Contributor), Marcel Weber (Contributor), Naomi Oreskes (Contributor), et al., eds. Science without Laws: Model Systems, Cases, Exemplary Narratives (Science and Cultural Theory). Duke University Press, 2007.

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45

(Contributor), Carlo Ginzburg, Clifford Geertz (Contributor), E. Jane Albert Hubbard (Contributor), John Forrester (Contributor), Josiah Ober (Contributor), Marcel Weber (Contributor), Naomi Oreskes (Contributor), et al., eds. Science without Laws: Model Systems, Cases, Exemplary Narratives (Science and Cultural Theory). Duke University Press, 2007.

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46

Romeo, John. Secondary Metabolism in Model Systems: Recent Advances in Phytochemistry. Elsevier Science & Technology Books, 2004.

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47

(Editor), Thomas Nyström, and Heinz D. Osiewacz (Editor), eds. Model Systems in Aging (Topics in Current Genetics). Springer, 2003.

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48

Mortlock, Robert. Microorganisms As Model Systems for Studying Evolution (Monographs in Evolutionary Biology). Springer, 1985.

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49

Romeo, John. Secondary Metabolism in Model Systems, Volume 38: Recent Advances in Phytochemistry. Elsevier Science, 2004.

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50

Romeo, John. Secondary Metabolism in Model Systems, Volume 38: Recent Advances in Phytochemistry. Elsevier Science, 2004.

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