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Books on the topic 'Theoretical Biophysics'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

F, Fischer Sighart, ed. Theoretical molecular biophysics. Springer, 2008.

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2

Scherer, Philipp, and Sighart F. Fischer. Theoretical Molecular Biophysics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-85610-8.

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Scherer, Philipp O. J., and Sighart F. Fischer. Theoretical Molecular Biophysics. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55671-9.

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4

Luo, Liaofu. Collected works on theoretical biophysics. Inner Mongolia University Press, 1997.

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5

Principles of theoretical neurophysiology. Springer-Verlag, 1987.

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6

The physical basis of biochemistry: The foundations of molecular biophysics. Springer, 1998.

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7

Birdi, K. S. Fractals in chemistry, geochemistry, and biophysics: An introduction. Plenum, 1993.

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8

International School on Theoretical Biophysics (1998 Moscow, Russia). Theoretical biophysics: International school, Moscow, 15-20 June 1998 : abstracts. [s.n], 1998.

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9

Brooks, Charles L. Proteins: A theoretical perspective of dynamics, structure, and thermodynamics. J. Wiley, 1988.

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10

The physical basis of biochemistry: The foundations of molecular biophysics. 2nd ed. Springer, 2010.

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11

La uger, P. (Peter), 1934- and Stark, G. (Gu nther), 1938-, eds. Physikalische Chemie und Biophysik. 5th ed. Springer-Verlag, 2009.

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12

Theory and evaluation of single-molecule signals. World Scientific, 2008.

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13

Puglisi, Joseph D. Biophysics and Structure to Counter Threats and Challenges. Springer Netherlands, 2013.

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14

Peliti, L. Biologically Inspired Physics. Springer US, 1991.

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15

Waleska, Aldana, Cifuentes Edgar, and Félix Julián, eds. Theoretical and practical elementary aspects of high energy physics: Proceedings of XXV CURCCAF. World Scientific, 2001.

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16

Birdi, K. S. Fractals in Chemistry, Geochemistry, and Biophysics: An Introduction. Springer US, 1993.

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17

author, Lupu Mihaela, and Briguet André author, eds. NMR probeheads for biophysical and biomedical experiments: Theoretical principles & practical guidelines. Imperial College Press, 2015.

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18

Mihaela, Lupu, and Briguet André, eds. NMR probeheads for biophysical and biomedical experiments: Theoretical principles & practical guidelines. Imperial College Press, 2006.

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19

service), SpringerLink (Online, ed. Ions in Water and Biophysical Implications: From Chaos to Cosmos. Springer Netherlands, 2012.

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20

Kostyukov, Viktor. Molecular mechanics of biopolymers. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1010677.

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The monograph is devoted to molecular mechanics simulations of biologically important polymers like proteins and nucleic acids. It is shown that the algorithms based on the classical laws of motion of Newton, with high-quality parameterization and sufficient computing resources is able to correctly reproduce and predict the structure and dynamics of macromolecules in aqueous solution. Summarized the development path of biopolymers molecular mechanics, its theoretical basis, current status and prospects for further progress.  It may be useful to researchers specializing in molecular Biophysics and molecular biology, as well as students of senior courses of higher educational institutions, studying the biophysical and related areas of training.

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21

Dinner, Aaron R. (Aaron Reuven), editor, Berry, R. Stephen, 1931- honouree, Rice, Stuart Alan, 1932- honouree, and Jortner Joshua honouree, eds. Proceedings of the 240 Conference: Science's great challenges. John Wiley & Sons Inc., 2015.

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22

service), SpringerLink (Online, ed. Biophysical Chemistry of Proteins: An Introduction to Laboratory Methods. Springer Science+Business Media, LLC, 2011.

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23

Jerusalem), Jerusalem Winter School for Theoretical Physics (5th 1987-1988. Statistical mechanics of membranes and surfaces: Jerusalem Winter School for Theoretical Physics, Jerusalem, 28 Dec. 87-6 Jan. 88. World Scientific, 1989.

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24

MacRitchie, Finlay. Chemistry at interfaces. Academic Press, 1990.

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25

J, Buehler Markus, and SpringerLink (Online service), eds. Biomateriomics. Springer Netherlands, 2012.

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26

Buehler, Markus J. Materiomics: Multiscale Mechanics of Biological Materials and Structures. Springer Vienna, 2013.

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27

Lund, A. EPR of Free Radicals in Solids II: Trends in Methods and Applications. Springer Netherlands, 2012.

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28

Adam, G. Physikalische Chemie und Biophysik. 2nd ed. Springer, 1988.

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29

Mircea, Dragoman, and SpringerLink (Online service), eds. Bionanoelectronics: Bioinquiring and Bioinspired Devices. Springer Berlin Heidelberg, 2012.

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30

Wagemakers, Alexandre. Physics of complex systems and life sciences. Research Signpost, 2007.

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31

Mikhailov, A. S. From cells to societies: Models of complex coherent action. Springer, 2002.

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32

Theoretical and mathematical foundations of human health risk analysis: Biophysical theory of environmental health science. Kluwer Academic, 1997.

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33

Scherer, Philipp O. J., and Sighart F. Fischer. Theoretical Molecular Biophysics. Springer, 2019.

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34

Scherer, Philipp O. J., and Sighart F. Fischer. Theoretical Molecular Biophysics. Springer, 2011.

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35

1938-, Beveridge David L., and Lavery Richard, eds. Theoretical biochemistry & molecular biophysics. Adenine Press, 1991.

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36

Beveridge, David L. Theoretical Biochemistry & Molecular Biophysics: Proteins. Adenine Pr, 1990.

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37

Lecca, Paola, and Angela Re. Theoretical Physics for Biological Systems. Taylor & Francis Group, 2019.

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38

Lecca, Paola, and Angela Re. Theoretical Physics for Biological Systems. Taylor & Francis Group, 2019.

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39

Lecca, Paola, and Angela Re. Theoretical Physics for Biological Systems. Taylor & Francis Group, 2019.

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40

Theoretical Physics for Biological Systems. Taylor & Francis Group, 2019.

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41

Beveridge, David L. Theoretical Biochemistry and Molecular Biophysics: DNA. Adenine Pr, 1991.

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42

Singlemolecule Biophysics Experiment And Theory. John Wiley & Sons, 2011.

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43

Arduini, Arnaldo. Principles of Theoretical Neurophysiology. Springer, 2011.

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44

James P. [from old catalog] Allen. Biophysical Chemistry. Wiley & Sons, Incorporated, John, 2009.

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45

Brooks, Charles L., Martin Karplus, and B. Montgomery Pettitt. Proteins: A Theoretical Perspective of Dynamics, Structure, and Thermodynamics. Wiley-Interscience, 1988.

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46

Brooks, Charles L. Proteins: A theoretical perspective of dynamics, structure and thermodynamics. Wiley, 1990.

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47

Brooks, Charles L., B. Montgomery Pettitt, Martin Karplus, Ilya Prigogine, and Stuart A. Rice. Proteins: A Theoretical Perspective of Dynamics, Structure, and Thermodynamics. Wiley & Sons, Incorporated, John, 2009.

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48

(Editor), Oren M. Becker, Alexander D. MacKerell Jr. (Editor), Benoit Roux (Editor), and Masakatsu Watanabe (Editor), eds. Computational Biochemistry and Biophysics. CRC, 2001.

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49

M, Becker Oren, ed. Computational biochemistry and biophysics. M. Dekker, 2001.

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50

Koch, Christof. Biophysics of Computation. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195104912.001.0001.

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Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes. Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation. Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.

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