Computational Methods for Protein Structure Prediction and Modeling
Language: English
Published by Springer New York, 2010
Series: Book 13 of 101 - Biological and Medical Physics, Biomedical Engineering
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
£ 120.75
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Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses a broad interdisciplinary audience in biophysics and biochemistry, molecular and cell biology, computational biology, and bioinformaticsProvides a comprehensive overview of protein biophysics for both professionals and graduate stud.
Seller Inventory # 4172734
- Title
- Computational Methods for Protein Structure Prediction and Modeling
- Author
- Xu, Ying|Xu, Dong|Liang, Jie
- Publisher
- Springer New York
- Publication year
- 2010
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1441922059
- ISBN 13
- 9781441922052
- Series
- Book 13 of 101: Biological and Medical Physics, Biomedical Engineering
This book provides systematic technical expositions of the computational methods for all major aspects of protein structure analysis, prediction and modeling. The chapters have been designed to address comprehensively the main topics of the field. In addition, chapters will be connected seamlessly through a careful design of the overall structure of the book. Topics have been selected carefully so that the book would be useful to a broad readership, including students, postdoctoral fellows, professional practitioners, as well as bioinformatic experts who want to brush up topics related to their own research areas. The book can be used as a textbook for upper undergraduate-level or beginning graduate-level bioinformatics courses. To facilitate learning, four appendices describing the prerequisites for reading this book have been included, in (1) biology, (2) computer science, (3) physics and chemistry, and (4) mathematics and statistics.
Each chapter in the book is a self-contained review of a specific subject, designed to cover the following material: (1) the problem definition and a historical perspective, (2) mathematical or computational formulation of the problem, (3) computational methods and algorithms, (4) performance results, (5) existing software packages, and (6) the strengths, pitfalls, challenges, and future research directions."Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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