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1

Fraga, Serafin. Computer simulations of protein structures and interactions. Berlin: Springer-Verlag, 1995.

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2

Protein architecture: A practical approach. Oxford [England]: IRL Press, 1991.

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3

Filizola, Marta, ed. G Protein-Coupled Receptors - Modeling and Simulation. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7423-0.

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4

Protein modelling with bioinformatics and biophysics. New York: Springer, 2006.

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5

Zimmermann, Karl-Heinz. An introduction to protein informatics. Dordrecht: Springer-Science+Business Media, B.V., 2003.

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6

Zimmermann, Karl-Heinz. An introduction to protein informatics. Boston: Kluwer Academic Publishers, 2003.

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7

Zimmermann, Karl-Heinz. An introduction to protein informatics. Boston: Kluwer Academic Publishers, 2003.

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8

Livesay, Dennis R. Protein dynamics: Methods and protocols. New York: Humana Press, 2013.

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9

Rangwala, Huzefa, G. Karypis, and G. Karypis. Introduction to protein structure prediction: Methods and algorithms. Hoboken, N.J: Wiley, 2010.

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10

Dimitrievski, Kristian. Monte Carlo simulations of supported biomembranes and protein folding. Göteborg: Göteborg University, Department of Physics, 2006.

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11

Fachtagung der GI-FG 4.0.2--Informatik in den Biowissenschaften (1st 1993 Bonn, Germany). Informatik in den Biowissenschaften: 1. Fachtagung der GI-FG 4.0.2 "Informatik in den Biowissenshaften" : Bonn, 15./16. Februar 1993. Berlin: Springer, 1993.

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12

Kunz, Meik. Modellierung und Simulation von Protein-Interaktionen am Beispiel von Wirts-Pathogen-Interaktionen. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-16778-3.

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13

Koliński, Andrzej. Lattice models of protein folding, dynamics, and thermodynamics. Austin, Tex: R.G. Landes, 1996.

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14

Rigden, Daniel John. From protein structure to function with bioinformatics. [Dordrecht]: Springer, 2009.

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15

Srinivasan, Subhashini. Homology folding of proteins: Application to cytokine engineering. Austin, TX: Landes Bioscience, 1997.

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16

Rangwala, Huzefa. Introduction to protein structure prediction: Methods and algorithms. Hoboken, N.J: Wiley, 2010.

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17

Workshop on Monte Carlo Approach to Biopolymers and Protein Folding (1997 Höchstleistungsrechenzentrum). Workshop on Monte Carlo Approach to Biopolymers and Protein Folding, HLRZ, Forschungszentrum Jülich, Germany, 3-5 December 1997. Singapore: World Scientific, 1998.

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18

Robert, Rein, and Golombek Amram, eds. Computer-assisted modeling of receptor-ligand interactions: Theoretical aspects and applications to drug design : proceedings of the 1988 OHOLO Conference held in Eilat, Israel, April 24-28, 1988. New York, N.Y: Liss, 1989.

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19

Frontiers of engineering: Reports on leading-edge engineering from the 2008 symposium. Washington: National Academies Press, 2009.

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20

Symposium on Frontiers of Engineering (2008 New Mexico). Frontiers of engineering: Reports on leading-edge engineering from the 2008 symposium. Washington: National Academies Press, 2009.

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21

Symposium on Frontiers of Engineering (2008 New Mexico). Frontiers of engineering: Reports on leading-edge engineering from the 2008 symposium. Washington: National Academies Press, 2009.

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22

Kukol, Andreas. Molecular modeling of proteins. Totowa, NJ: Humana Press, 2015.

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23

Fraga, S., J. M. R. Parker, and J. M. Pocock. Computer Simulations of Protein Structures and Interactions. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-51499-9.

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24

Hao, Ming-Hong. Statistical thermodynamics of protein folding: Comparison of a mean-field theory with Monte Carlo simulations. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1994.

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25

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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26

Spiegel, Colleen. PEM fuel cell modeling and simulation using Matlab. Boston: Academic Press/Elsevier, 2008.

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27

Spiegel, Colleen. PEM fuel cell modeling and simulation using Matlab. Boston: Academic Press/Elsevier, 2008.

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28

Spiegel, Colleen. PEM fuel cell modeling and simulation using Matlab. Boston: Academic Press/Elsevier, 2008.

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29

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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30

Höltje, Hans-Dieter. Molecular modeling: Basic principles and applications. Weinheim: VCH, 1997.

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31

Mini-Workshop on Electron-Cloud Simulations for Proton and Positron Beams (2002 Geneva, Switzerland). ECLOUD'02: Mini-Workshop on Electron-Cloud Simulations for Proton and Positron Beams : CERN, Geneva, Switzerland, 15-18 April 2002 : proceedings. Edited by Rumolo G, Zimmermann F. 1966-, and European Organization for Nuclear Research. Geneva: CERN, 2002.

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32

Basualdo, Marta S., Rachid Outbib, and Diego Feroldi. PEM fuel cells with bio-fuel processor systems: A multidisciplinar study of modelling, simulation, fault diagnosis and advanced control. London: Springer, 2010.

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33

Frontiers of engineering: Reports on leading-edge engineering from the 2007 symposium. Washington, D.C: National Academies Press, 2008.

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34

Maher A. R. Sadiq Al-Baghdadi. CFD modeling and analysis of different novel designs of air-breathing PEM fuel cells. Hauppauge, N.Y: Nova Science Publishers, 2009.

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35

Mather A. R. Sadiq Al-Baghdadi. CFD models for analysis and design of PEM fuel cells CFD models for analysis & design of PEM fuel cells. New York: Nova Science Publishers, 2008.

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36

Maher A. R. Sadiq Al-Baghdadi. CFD modeling and analysis of different novel designs of air-breathing PEM fuel cells. New York: Nova Science Publishers, 2010.

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37

Alberte, Pullman, Jortner Joshua, and Pullman Bernard 1919-, eds. Modelling of biomolecular structures and mechanisms: Proceedings of the Twenty-seventh Jerusalem Symposium on Quantum Chemistry and Biochemistry held in Jerusalem, Israel, May 23-26, 1994. Dordrecht: Kluwer Academic Publishers, 1995.

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38

Protein simulations. Amsterdam: Academic Press, 2003.

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39

Protein Folding In Silico Protein Folding Versus Protein Structure Prediction. Woodhead Publishing, 2013.

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40

E, Sternberg Michael J., ed. Protein structure prediction: A practical approach. Oxford: IRL Press at Oxford University Press, 1996.

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41

Sternberg, Michael J. E. Protein Structure Prediction: A Practical Approach (Practical Approach Series). Oxford University Press, USA, 1997.

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42

Protein Structure Prediction: A Practical Approach (The Practical Approach Series , No 170). Oxford University Press, USA, 1997.

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43

A, Kuhn Leslie, and Thorpe M. F, eds. Protein flexibility and folding. Amsterdam: Elsevier, 2001.

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44

Fraga, Serafin, Jennifer M. Pocock, and J. M. Robert Parker. Computer Simulations of Protein Structures and Interactions. Springer, 2014.

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45

Ruth, Nussinov, and Schreiber Gideon, eds. Computational protein-protein interactions. Boca Raton: CRC Press/Taylor & Francis, 2009.

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46

Computational Protein-Protein Interactions. CRC, 2009.

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47

Nussinov, Ruth, and Gideon Schreiber. Computational Protein-Protein Interactions. Taylor & Francis Group, 2017.

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48

Nussinov, Ruth, and Gideon Schreiber. Computational Protein-Protein Interactions. Taylor & Francis Group, 2009.

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49

W.F. Van Gunsteren (Editor), P. K. Weiner (Editor), and A. J. Wilkinson (Editor), eds. Computer Simulation of Biomolecular Systems: Theoretical and Experimental Applications Volume 3 (Computer Simulations of Biomolecular Systems). Springer, 1997.

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50

1950-, Tsigelny Igor F., ed. Protein structure prediction: Bioinformatic approach. La Jolla, Calif: International University Line, 2002.

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