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Computational Methods for Protein Structure Prediction and Modeling
. Ed(S): Xu, Ying; Xu, Dong; Liang, Jie
€ 200.77
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Description for Computational Methods for Protein Structure Prediction and Modeling
Hardback. Presents an overview of protein structure prediction methods. This volume focuses on protein structure prediction and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, and structure prediction as a systems problem. Editor(s): Xu, Ying; Xu, Dong; Liang, Jie. Series: Biological and Medical Physics, Biomedical Engineering. Num Pages: 342 pages, 41 black & white illustrations, 21 black & white tables, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 20. Weight in Grams: 1470.
Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.
Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.
Product Details
Format
Hardback
Publication date
2006
Publisher
Springer-Verlag New York Inc. United States
Number of pages
342
Condition
New
Series
Biological and Medical Physics, Biomedical Engineering
Number of Pages
322
Place of Publication
New York, NY, United States
ISBN
9780387333212
SKU
V9780387333212
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About . Ed(S): Xu, Ying; Xu, Dong; Liang, Jie
Dr. Ying Xu is Regents-GRA Eminent Scholar and Professor at the University of Georgia. Dr. Dong Xu is the Director of the Digital Biology Laboratory at the University of Missouri-Columbia. Dr. Jie Liang is the Director for the Center for Bioinformatics at the University of Illinois at Chicago.
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