0
Your cart

Your cart is empty

Books > Science & Mathematics > Biology, life sciences > Biochemistry > Proteins

Buy Now

Computational Methods for Protein Structure Prediction and Modeling - Volume 2: Structure Prediction (Hardcover, 2007 ed.) Loot Price: R4,334
Discovery Miles 43 340
Computational Methods for Protein Structure Prediction and Modeling - Volume 2: Structure Prediction (Hardcover, 2007 ed.):...

Computational Methods for Protein Structure Prediction and Modeling - Volume 2: Structure Prediction (Hardcover, 2007 ed.)

Ying Xu, Dong Xu, Jie Liang

Series: Biological and Medical Physics, Biomedical Engineering

 (sign in to rate)
Loot Price R4,334 Discovery Miles 43 340 | Repayment Terms: R406 pm x 12*

Bookmark and Share

Expected to ship within 12 - 17 working days

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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Biological and Medical Physics, Biomedical Engineering
Release date: December 2006
First published: 2007
Editors: Ying Xu • Dong Xu • Jie Liang
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Hardcover
Pages: 322
Edition: 2007 ed.
ISBN-13: 978-0-387-33321-2
Categories: Books > Science & Mathematics > Biology, life sciences > Biochemistry > Proteins
LSN: 0-387-33321-5
Barcode: 9780387333212

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners