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Libros sobre el tema "Mathematical molecular modelling"

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Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 12 de febrero de 2022

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1

Hinchliffe, Alan. Molecular Modelling for Beginners. New York: John Wiley & Sons, Ltd., 2006.

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2

Molecular modelling for beginners. 2a ed. Hoboken, NJ: Wiley, 2008.

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3

Molecular and particle modelling of laminar and turbulent flows. Hackensack, N.J: World Scientific, 2005.

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4

Molecular Modelling für Anwender: Anwendung von Kraftfeld- und MO-Methoden in der organischen Chemie. Stuttgart: Teubner, 1991.

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5

Comba, P. Molecular modeling of inorganic compounds. Weinheim: VCH, 1995.

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6

Comba, Peter. Molecular modeling of inorganic compounds. 2a ed. Weinheim: Wiley-VCH, 2001.

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7

Applied Pulp and Paper Molecular Modelling Symposium (1st 2005 Montreal, Canada). The proceedings of the first applied pulp and paper molecular modelling symposium: August 24-26, 2005, McCord Museum, McGill University, Montreal, Canada. Montreal: Cascades Inc., 2006.

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8

Applied Pulp and Paper Molecular Modelling Symposium (1st 2005 Montreal, Canada). The proceedings of the first applied pulp and paper molecular modelling symposium: August 24-26, 2005, McCord Museum, McGill University, Montreal, Canada. Montreal: Cascades Inc., 2006.

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9

Alberte, Pullman, Jortner Joshua y 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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10

1960-, Rhodes John A., ed. Mathematical models in biology: An introduction. Cambridge, UK: Cambridge University Press, 2004.

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11

1947-, Arino Ovide, Axelrod David E. 1940-, Kimmel Marek 1959- y Capasso V. 1945-, eds. Advances in mathematical population dynamics--molecules, cells, and man: Proceedings of the 4th International Conference on Mathematical Population Dynamics, 23-27 May 1995. Singapore: World Scientific, 1997.

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12

International Symposium on Algorithms for Macromolecular Modelling (2nd 1997 Berlin, Germany). Computational molecular dynamics: Challenges, methods, ideas : proceedings of the 2nd International Symposium on Algorithms for Macromolecular Modelling, Berlin, May 21-24, 1997. Berlin: Springer, 1999.

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13

Zhou, Xiaobo. Computational systems bioinformatics: Methods and biomedical applications. New Jersey: World Scientific, 2008.

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14

Molecular Modelling and Bonding. Royal Society of Chemistry, 2002.

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15

Hinchliffe, Alan. Molecular Modelling for Beginners. Wiley & Sons, Incorporated, John, 2007.

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16

Hinchliffe, Alan. Molecular Modelling for Beginners. Wiley & Sons, Incorporated, John, 2008.

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17

Molecular Modelling for Beginners. Wiley, 2003.

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18

Hinchliffe, Alan. Molecular Modelling for Beginners. Wiley & Sons, Incorporated, John, 2011.

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19

Hinchliffe, Alan. Molecular Modelling for Beginners. Wiley & Sons, Incorporated, John, 2011.

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20

Hinchliffe, Alan. Molecular Modelling for Beginners. Wiley, 2003.

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21

B, Maksić Z. y Yugoslav Symposium on Molecular Sciences (1st : 1986 : Zagreb, Croatia), eds. Modelling of structure and properties of molecules. Chichester, West Sussex, England: E. Horwood, 1987.

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22

Computergestütztes "Molecular modelling": Alternativen zum Tierversuch. Jülich: Forschungszentrum Jülich, 1991.

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23

A, Holzapfel Gerhard y Ogden R. W. 1943-, eds. Biomechanical modelling at the molecular, cellular, and tissue levels. Wien: Springer, 2009.

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24

(Editor), Roger Gaudreault, M. A. Whitehead (Editor) y Theo van de Ven (Editor), eds. The Proceedings of The First Applied Pulp and Paper Molecular Modelling Symposium. Cascades Inc, 2005.

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25

Sondhi, Sanjay K. Atomic scale modelling of dislocations in Be₁₂X compounds. 1991.

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26

(Editor), A. Pullman y J. Jortner (Editor), eds. Modelling of Biomolecular Structures and Mechanisms (Jerusalem Symposia). Springer, 1995.

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27

Turner, Martin R., Matthew C. Kiernan y Kevin Talbot. Technical advances in neuroscience. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199658602.003.0001.

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This chapter highlights key technological advances in neuroimaging, the understanding of impulse transmission, and the molecular biology of the nervous system that have underpinned our modern understanding of the brain, mind, and nervous system. Neuroimaging spans the sub-cellular and systems levels of neuroscience, beginning with electron microscopy and then, 50 years later, magnetic resonance imaging and increasingly sophisticated mathematical modelling of brain function. These developments have been interleaved with the improved understanding of neurotransmission, starting with the seminal observations made from giant squid axon recordings, which were translated into clinically useable tools through the application of electric current, and later with magnetic stimulation. It is during the last 50 years that a molecular framework for these concepts emerged, with the cloning of genes that began in Duchenne muscular dystrophy, paving the way for the wider human genome project.
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28

B, Maksić Z. y Orville-Thomas W. J. 1921-, eds. Pauling's legacy: Modern modelling of the chemical bond. Amsterdam: Elsevier, 1999.

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29

Gray, Doug, Carole Proctor y Tom Kirkwood. Biological aspects of human ageing. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199644957.003.0001.

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At the molecular and cellular levels human ageing is characterized by the accumulation of unrepaired random damage, and an accompanying loss of function. A major source of damage is oxidative stress caused by the generation of reactive oxygen species as a by-product of respiration. DNA and proteins are both susceptible to damage but whereas DNA damage repair systems exist, faulty proteins are generally removed by protein degradation systems. During ageing these systems become less efficient and the subsequent accumulation of damaged protein promotes protein aggregation, a process which is especially problematic in the ageing brain. Other aspects of ageing include genetic and epigenetic changes, mitochondrial dysfunction, telomere shortening, and cellular senescence, all subject to stochasticity. The complexity of the biology of ageing has led to an increase in the use of systems biology approaches whereby the use of mathematical modelling and bioinformatic tools complement the more traditional experimental approaches.
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30

Allman, Elizabeth S. y John A. Rhodes. Mathematical Models in Biology: An Introduction. Cambridge University Press, 2003.

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31

International Conference on Mathematical Population Dynamics 1995 hou y V. Capasso. Advances in Mathematical Population Dynamics: Molecules, Cells and Man : 23-27 May 1995 (Series in Mathematical Biology and Medicine, Vol 6). World Scientific Pub Co Inc, 1998.

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32

Molecular Computation Models: Unconventional Approaches. Cybertech Publishing, 2005.

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33

Computational Systems Bioinformatics U Methods and Biomedical Applications. World Scientific Publishing Company, 2008.

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