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Mathematical and computational modeling in biology at multiple scales
Authors:Email author" target="_blank">Jack?A?TuszynskiEmail author  Philip?Winter  Diana?White  Chih-Yuan?Tseng  Kamlesh?K?Sahu  Francesco?Gentile  Ivana?Spasevska  Sara?Ibrahim?Omar  Niloofar?Nayebi  Cassandra?DM?Churchill  Mariusz?Klobukowski  Rabab?M?Abou?El-Magd
Institution:1.Department of Physics and Department of Oncology,University of Alberta,Canada;2.Department of Oncology,University of Alberta,Canada;3.Department of Physics,University of Alberta,Canada;4.Department of Mechanical and Aerospace Engineering,Politecnico di Torino,Italy;5.Department of Biology,Ecole Normale Supérieure de Lyon,France;6.Department of Chemistry,University of Alberta,Canada;7.Department of Biological Sciences,University of Alberta,Canada
Abstract:A variety of topics are reviewed in the area of mathematical and computational modeling in biology, covering the range of scales from populations of organisms to electrons in atoms. The use of maximum entropy as an inference tool in the fields of biology and drug discovery is discussed. Mathematical and computational methods and models in the areas of epidemiology, cell physiology and cancer are surveyed. The technique of molecular dynamics is covered, with special attention to force fields for protein simulations and methods for the calculation of solvation free energies. The utility of quantum mechanical methods in biophysical and biochemical modeling is explored. The field of computational enzymology is examined.
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