Computational methods for protein structure prediction and modeling - Info and Reading Options
By Ying Xu, Dong Xu and Jie Liang
"Computational methods for protein structure prediction and modeling" was published by Springer in 2007 - New York, N.Y, it has 394 pages and the language of the book is English.
“Computational methods for protein structure prediction and modeling” Metadata:
- Title: ➤ Computational methods for protein structure prediction and modeling
- Authors: Ying XuDong XuJie Liang
- Language: English
- Number of Pages: 394
- Publisher: Springer
- Publish Date: 2007
- Publish Location: New York, N.Y
“Computational methods for protein structure prediction and modeling” Subjects and Themes:
- Subjects: ➤ Mathematical models - Proteins - Structure - Computational biology - Conformation - Proteins, structure - Protein Conformation - Theoretical Models - Amino Acid Sequence - Molecular Models - Methods - Physics - Proteomics - Bioinformatics - Biophysics and Biological Physics
Edition Specifications:
- Pagination: 2 v. :
Edition Identifiers:
- The Open Library ID: OL22747575M - OL18365889W
- Online Computer Library Center (OCLC) ID: 70399439
- Library of Congress Control Number (LCCN): 2006929615
- ISBN-13: 9780387333199 - 9780387333212 - 9780387683720
- ISBN-10: 0387333215 - 0387333193
- All ISBNs: 0387333215 - 0387333193 - 9780387333199 - 9780387333212 - 9780387683720
AI-generated Review of “Computational methods for protein structure prediction and modeling”:
"Computational methods for protein structure prediction and modeling" Table Of Contents:
- 1- v. 1. Basic characterization
- 2- v. 2. Structure prediction.
"Computational methods for protein structure prediction and modeling" Description:
Open Data:
Volume one of this two volume sequence focuses on the basic characterization of known protein structures as well as structure prediction from protein sequence information. The 11 chapters provide an overview of the field, covering key topics in modeling, force fields, classification, computational methods, and struture prediction. Each chapter is a self contained review designed to cover (1) definition of the problem and an historical perspective, (2) mathematical or computational formulation of the problem, (3) computational methods and algorithms, (4) performance results, (5) existing software packages, and (6) strengths, pitfalls, challenges, and future research directions
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