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portada computational methods for protein structure prediction and modeling: volume 1: basic characterization
Type
Physical Book
Illustrated by
Publisher
Author
Year
2010
Language
English
Pages
396
Format
Paperback
Dimensions
23.4 x 15.6 x 2.2 cm
Weight
0.59 kg.
ISBN
1441922059
ISBN13
9781441922052
Categories

computational methods for protein structure prediction and modeling: volume 1: basic characterization

Ying Xu (Illustrated by) · Dong Xu (Illustrated by) · Jie Liang (Illustrated by) · Springer · Paperback

computational methods for protein structure prediction and modeling: volume 1: basic characterization - Xu, Ying ; Xu, Dong ; Liang, Jie

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Synopsis "computational methods for protein structure prediction and modeling: volume 1: basic characterization"

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.

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