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Applied Biomathematics For Nucleic Acid Chemistry and Protein Folding: Quantitative Simulations

  • Book

  • November 2023
  • Bentham Science Publishers Ltd
  • ID: 5921113
This monograph research presents research in applied biomathematics carried out by the author at the beginning of this millennium. Monte Carlo simulations have been widely used by computational biologists to understand stochastics of living systems in biological matter. This work demonstrates how Monte Carlo simulations can help us to understand the nucleic acid structure, biophysics and chemistry.

The author presents research on methods to understand aspects of the molecular dynamics of nucleic acids, DNA melting, evolutionary genetics, protein folding of Crambin and DNA vitrification. The book consists of five chapters and an appendix on the theoretical investigation on 10-12 potential of Hydrogen-Hydrogen covalent bond. Some of the previous research published in İnternational Journal of Modern Physics C and Modern Physics Letters B is extended for additional insight.

Readers will find simple computer algorithms for hard mathematical physics problems such as mesoscopic, fractals, percolation, Metropolis algorithm and Langevin dynamics - many of which are also crucial to understanding experimental results of computer-aided drug discovery and cryopreservation. The author has taken care to explain calculations in a clear manner. All simulations have been conducted using Fortran (f77).

Readership

Advanced researchers and data scientists in the field of molecular dynamics, bioinformatics and systems biology

Table of Contents

  • Contents
  • Foreword
  • Preface
  • Acknowledgements
Chapter 1 a Stochastic Mechanism for Dna Melting
  • Introduction
  • Methods
  • Results and Discussion
  • Conclusion
  • Disclosure
  • References
Chapter 2 a Theoretical Analysis of a Percolation Model
  • Introduction
  • Calculation
  • Results
  • The Theory and Discussion
  • Conclusion
  • Disclosure
  • References
Chapter 3 a Monte Carlo Assisted Simulation of Stochastic Molecular
  • Dynamics for Folding of the Protein Crambin in a Viscous Environment
  • Introduction
  • Methods
  • Theory
  • The Monte Carlo Simulation
  • Results and Discussion
  • Assumptions
  • Disclosure
  • References
Chapter 4 Continuum Space Model for Folding of the Protein
  • Crambin
  • Introduction
  • The Model
  • Calculation
  • Conclusion
  • References
Chapter 5 a Stochastic Mechanism for Dna Vitrification
  • Introduction
  • Theory
  • Results and Discussion
  • Conclusion
  • References
Chapter 6 a Theoretical Investigation on 10-12 Potential Of
  • Hydrogen-Hydrogen Covalent Bond
  • Introduction
  • The Theory
  • Calculations
  • Results and Discussion
  • Conclusion
  • References
  • Subject Index

Author

  • Sencer Taneri