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Computational Approaches in Molecular Radiation Biology

Monte Carlo Methods

  • Book
  • © 1994

Overview

Editors:
  1. Matesh N. Varma

    1. U.S. Department of Energy, Gaithersburg, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Aloke Chatterjee

    1. Lawrence Berkeley Laboratory, Berkeley, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Basic Life Sciences (BLSC, volume 63)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-ix
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  2. Significance of Computational Biology

    1. Computational Biology Opportunity and Challenges for the Future

      • John C. Wooley, Matesh N. Varma
      Pages 1-9

    2. Overview of Significant Challenges in Molecular Biology Amenable to Computational Methods

      • Robert M. Glaeser
      Pages 11-19

  4. Track Structure Code Development

    1. Charged-Particle Transport in Biomolecular Media: The Third Generation

      • M. Zaider, A. Fung, M. Bardash
      Pages 77-92

    2. Track Structure, Chromosome Geometry and Chromosome Aberrations

      • David J. Brenner, John F. Ward, Rainer K. Sachs
      Pages 93-113

    3. Monte Carlo and Analytic Methods in the Transport of Electrons, Neutrons, and Alpha Particles

      • Randall S. Caswell, Stephen M. Seltzer
      Pages 115-136

    4. PITS: A Code Set for Positive Ion Track Structure

      • W. E. Wilson, J. H. Miller, H. Nikjoo
      Pages 137-153

    5. Monte Carlo Track-Structure Calculations for Aqueous Solutions Containing Biomolecules

      • J. E. Turner, R. N. Hamm, R. H. Ritchie, W. E. Bolch
      Pages 155-166

  5. Comparison of Track Structure Codes

    1. Comparison of Various Monte Carlo Track Structure Codes for Energetic Electrons in Gaseous and Liquid Water

      • Hooshang Nikjoo, Shuzo Uehara
      Pages 167-185

    2. A Comparison between Two Monte Carlo Codes on Determination of Transient Chemical Yields

      • R. N. Hamm, J. E. Turner, A. Chatterjee
      Pages 187-193

    3. An Attempt to Modify the MOCA Water-Vapor-Ion Code to Simulate Liquid Phase

      • S. B. Curtis, J. B. Schmidt, W. E. Wilson
      Pages 195-198

  6. Modeling of Biological Effects

    1. Three Statistical Technologies with High Potential in Biological Imaging and Modeling

      • Moshe Fridman, J. Michael Steele
      Pages 199-224

    2. Monte Carlo Approach in Assessing Damage in Higher Order Structures of DNA

      • Aloke Chatterjee, James B. Schmidt, William R. Holley
      Pages 225-241

    3. A Nucleosome Model for the Simulation of DNA Strand Break Experiments

      • Michel Terrissol, Ekkehard Pomplun
      Pages 243-250

    4. A Computational Approach to the Relationship between Radiation Induced Double Strand Breaks and Translocations

      • William R. Holley, Aloke Chatterjee
      Pages 251-259

  7. Back Matter

    Pages 261-263
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Keywords

About this book

The Office of Health and Environmental Research (OHER) has supported and continues to support development of computational approaches in biology and medicine. OHER's Radiological and Chemical Physics Program initiated development of computational approaches to determine the effects produced by radiation of different quality (such as high energy electrons, protons, helium and other heavy ions, etc. ) in a variety of materials of biological interest-such as water, polymers and DNA; these include molecular excitations and sub-excitations and the production of ionization and their spatial and temporal distribution. In the past several years, significant advances have been made in computational methods for this purpose. In particular, codes based on Monte Carlo techniques have ·been developed that provide a realistic description of track-structure produced by charged particles. In addition, the codes have become sufficiently sophisticated so that it is now possible to calculate the spatial and temporal distribution of energy deposition patterns in small volumes of subnanometer and nanometer dimensions. These dimensions or resolution levels are relevant for our understanding of mechanisms at the molecular level by which radiations affect biological systems. Since the Monte Carlo track structure codes for use in radiation chemistry and radiation biology are still in the developmental stage, a number of investigators have been exploring different strategies for improving these codes.

Editors and Affiliations

  • U.S. Department of Energy, Gaithersburg, USA

    Matesh N. Varma

  • Lawrence Berkeley Laboratory, Berkeley, USA

    Aloke Chatterjee

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