Lecture Notes On Computational Structural Biology

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Title: Lecture Notes On Computational Structural Biology
Description: While the field of computational structural biology or structural bioinformatics is rapidly developing, there are few books with a relatively complete coverage of such diverse research subjects studied in the field as X-ray crystallography computing, NMR structure determination, potential energy minimization, dynamics simulation, and knowledge-based modeling. This book helps fill the gap by providing such a survey on all the related subjects. Comprising a collection of lecture notes for a computational structural biology course for the Program on Bioinformatics and Computational Biology at Iowa State University, the book is in essence a comprehensive summary of computational structural biology based on the author's own extensive research experience, and a review of the subject from the perspective of a computer scientist or applied mathematician. Readers will gain a deeper appreciation of the biological importance and mathematical novelty of the research in the field.
Authors: Zhijun Wu
Resource Type: eBook.
Subjects: Proteins--Structure--Mathematical models, Protein folding--Mathematical models, Proteins--Structure--Computer simulation, Protein folding--Computer simulation, Computational biology, Bioinformatics
Categories: SCIENCE / Life Sciences / General, SCIENCE / Biotechnology
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 518600
RelevancyScore: 1018
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1018.08020019531
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  Data: Lecture Notes On Computational Structural Biology
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  Label: Description
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  Data: While the field of computational structural biology or structural bioinformatics is rapidly developing, there are few books with a relatively complete coverage of such diverse research subjects studied in the field as X-ray crystallography computing, NMR structure determination, potential energy minimization, dynamics simulation, and knowledge-based modeling. This book helps fill the gap by providing such a survey on all the related subjects. Comprising a collection of lecture notes for a computational structural biology course for the Program on Bioinformatics and Computational Biology at Iowa State University, the book is in essence a comprehensive summary of computational structural biology based on the author's own extensive research experience, and a review of the subject from the perspective of a computer scientist or applied mathematician. Readers will gain a deeper appreciation of the biological importance and mathematical novelty of the research in the field.
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 572.6330285 22
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Proteins--Structure--Mathematical models
        Type: general
      – SubjectFull: Protein folding--Mathematical models
        Type: general
      – SubjectFull: Proteins--Structure--Computer simulation
        Type: general
      – SubjectFull: Protein folding--Computer simulation
        Type: general
      – SubjectFull: Computational biology
        Type: general
      – SubjectFull: Bioinformatics
        Type: general
    Titles:
      – TitleFull: Lecture Notes On Computational Structural Biology
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Zhijun Wu
      – PersonEntity:
          Name:
            NameFull: Zhijun Wu
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2008
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9789812705891
            – Type: isbn-electronic
              Value: 9789812814784
          Titles:
            – TitleFull: Lecture Notes On Computational Structural Biology
              Type: main
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