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Relevant bibliographies by topics / Proteins Molecular Dynamics Computational Biophysics / Books

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Books on the topic 'Proteins Molecular Dynamics Computational Biophysics'

Author: Grafiati

Published: 11 March 2023

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1

Sansom, M. S. P., and Philip Charles Biggin. Molecular simulations and biomembranes: From biophysics to function. Cambridge: Royal Society of Chemistry, 2010.

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2

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

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3

Donald, Bruce R. Algorithms in structural molecular biology. Cambridge, Mass: MIT Press, 2011.

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4

Frishman, Dmitrij. Structural bioinformatics of membrane proteins. Wien: Springer, 2010.

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5

Kostyukov, Viktor. Molecular mechanics of biopolymers. ru: 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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6

Fuxreiter, Monika. Computational Approaches to Protein Dynamics. Taylor & Francis Group, 2014.

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7

Fuxreiter, Monika. Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2014.

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8

Fuxreiter, Monika. Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2014.

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9

Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2018.

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10

Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2014.

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11

Appasani, Krishnarao, and Raghu Kiran Appasani, eds. Single-Molecule Science. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108525909.

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Single Molecule Science (SMS) has emerged from developing, using and combining technologies such as super-resolution microscopy, atomic force microscopy, and optical and magnetic tweezers, alongside sophisticated computational and modelling techniques. This comprehensive, edited volume brings together authoritative overviews of these methods from a biological perspective, and highlights how they can be used to observe and track individual molecules and monitor molecular interactions in living cells. Pioneers in this fast-moving field cover topics such as single molecule optical maps, nanomachines, and protein folding and dynamics. A particular emphasis is also given to mapping DNA molecules for diagnostic purposes, and the study of gene expression. With numerous illustrations, this book reveals how SMS has presented us with a new way of understanding life processes. A must-have for researchers and graduate students, as well as those working in industry, primarily in the areas of biophysics, biological imaging, genomics and structural biology.

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12

Kolomeisky, Anatoly B. Motor Proteins and Molecular Motors. Taylor & Francis Group, 2015.

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13

Kolomeisky, Anatoly B. Motor Proteins and Molecular Motors. Taylor & Francis Group, 2020.

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14

Kolomeisky, Anatoly B. Motor Proteins and Molecular Motors. Taylor & Francis Group, 2015.

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15

Becker, Oren M., Benoit Roux, Alexander D. MacKerell Jr, and Masakatsu Watanabe. Computational Biochemistry and Biophysics. Taylor & Francis Group, 2019.

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16

Becker, Oren M., Benoit Roux, Alexander D. MacKerell Jr, and Masakatsu Watanabe. Computational Biochemistry and Biophysics. Taylor & Francis Group, 2001.

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17

Becker, Oren M., Benoit Roux, Alexander D. MacKerell Jr, and Masakatsu Watanabe. Computational Biochemistry and Biophysics. Taylor & Francis Group, 2001.

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18

Becker, Oren M., Benoit Roux, Alexander D. MacKerell Jr, and Masakatsu Watanabe. Computational Biochemistry and Biophysics. Taylor & Francis Group, 2001.

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19

Becker, Oren M., Benoit Roux, Alexander D. MacKerell Jr, and Masakatsu Watanabe. Computational Biochemistry and Biophysics. Taylor & Francis Group, 2001.

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20

Becker, Oren M., Benoit Roux, Alexander D. MacKerell Jr, and Masakatsu Watanabe. Computational Biochemistry and Biophysics. Taylor & Francis Group, 2001.

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21

(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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22

Donald, Bruce R. Algorithms in Structural Molecular Biology. MIT Press, 2011.

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23

Ehrenberg, A., R. Rigler, and A. Graslund. Structure, Dynamics and Function of Biomolecules: The First Ebsa Workshop : A Marcus Wallenberg Symposium (Springers Series in Biophysics, Vol 1). Springer-Verlag, 1987.

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24

Boero, Mauro, and Masaru Tateno. Quantum-theoretical approaches to proteins and nucleic acids. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.17.

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This article describes quantum methods used to study proteins and nucleic acids: Hartree–Fock all-electron approaches, density-functional theory approaches, and hybrid quantum-mechanics/molecular-mechanics approaches. In addition to an analysis of the electronic structure, quantum-mechanical approaches for simulating proteins and nucleic acids can elucidate the cleavage and formation of chemical bonds in biochemical reactions. This presents a computational challenge, and a number of methods have been proposed to overcome this difficulty, including enhanced temperature methods such as high-temperature molecular dynamics, parallel tempering and replica exchange. Alternative methods not relying on the knowledge a priori of the final products make use of biasing potentials to push the initial system away from its local minimum and to enhance the sampling of the free-energy landscape. This article considers two of these biasing techniques, namely Blue Moon and metadynamics.

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25

Thiriet, Marc. Signaling at the Cell Surface in the Circulatory and Ventilatory Systems. Springer, 2011.

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26

Thiriet, Marc. Signaling at the Cell Surface in the Circulatory and Ventilatory Systems. Springer, 2011.

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27

Thiriet, Marc. Signaling at the Cell Surface in the Circulatory and Ventilatory Systems. Springer, 2016.

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28

Signaling At The Cell Surface In The Circulatory And Ventilatory Systems. Springer, 2011.

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