Computational Approaches in Molecular Radiation Biology: Monte Carlo Methods: Basic Life Sciences, cartea 63
Editat de Matesh N. Varma, Aloke Chatterjeeen Limba Engleză Paperback – iul 2013
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Specificații
ISBN-13: 9781475797909
ISBN-10: 1475797907
Pagini: 276
Ilustrații: X, 264 p.
Dimensiuni: 178 x 254 x 14 mm
Greutate: 0.48 kg
Ediția:1994
Editura: Springer Us
Colecția Springer
Seria Basic Life Sciences
Locul publicării:New York, NY, United States
ISBN-10: 1475797907
Pagini: 276
Ilustrații: X, 264 p.
Dimensiuni: 178 x 254 x 14 mm
Greutate: 0.48 kg
Ediția:1994
Editura: Springer Us
Colecția Springer
Seria Basic Life Sciences
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Significance of Computational Biology.- Computational Biology Opportunity and Challenges for the Future.- Overview of Significant Challenges in Molecular Biology Amenable to Computational Methods.- Initial Physical and Chemical Studies.- Basic Physical and Chemical Information Needed for Development of Monte Carlo Codes.- Interactions of Low-Energy Electrons with Condensed Matter: Relevance for Track Structure.- Electron Emission Resulting from Fast Ion Impact on Thin Metal Foils: Implications of These Data for Development of Track Structure Models.- Direct Ionization of DNA in Solution.- Track Structure Code Development.- Charged-Particle Transport in Biomolecular Media: The Third Generation.- Track Structure, Chromosome Geometry, and Chromosome Aberrations.- Monte Carlo and Analytic Methods in the Transport of Electrons, Neutrons, and Alpha Particles.- PITS: A Code Set for Positive Ion Track Structure.- Monte Carlo Track-Structure Calculations for Aqueous Solutions Containing Biomolecules.- Comparison of Track Structure Codes.- Comparison of Various Monte Carlo Track Structure Codes for Energetic Electrons in Gaseous and Liquid Water.- A Comparison between Two Monte Carlo Codes on Determination of Transient Chemical Yields.- An Attempt to Modify the MOCA Water-Vapor-Ion Code to Simulate Liquid Phase.- Modeling of Biological Effects.- Three Statistical Technologies with High Potential in Biological Imaging and Modeling.- Monte Carlo Approach in Assessing Damage in Higher Order Structures of DNA.- A Nucleosome Model for the Simulation of DNA Strand Break Experiments.- A Computational Approach to the Relationship between Radiation Induced Double Strand Breaks and Translocations.