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

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Title: Applied Biomathematics For Nucleic Acid Chemistry and Protein Folding: Quantitative Simulations
Description: 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).
Authors: Sencer, Taneri
Resource Type: eBook.
Subjects: Protein folding, Biophysics
Categories: MATHEMATICS / Applied
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
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PubType: eBook
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  Data: Applied Biomathematics For Nucleic Acid Chemistry and Protein Folding: Quantitative Simulations
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  Data: 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).
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      – Code: 571.4
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Protein folding
        Type: general
      – SubjectFull: Biophysics
        Type: general
    Titles:
      – TitleFull: Applied Biomathematics For Nucleic Acid Chemistry and Protein Folding: Quantitative Simulations
        Type: main
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          Name:
            NameFull: Sencer, Taneri
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            NameFull: Sencer, Taneri
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 14
              M: 05
              Type: profile
              Y: 2026
          Identifiers:
            – Type: isbn-print
              Value: 9789815179972
            – Type: isbn-electronic
              Value: 9789815179965
          Titles:
            – TitleFull: Applied Biomathematics For Nucleic Acid Chemistry and Protein Folding: Quantitative Simulations
              Type: main
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