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Springer Computational Methods for Protein Structure Prediction

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Description

Volume 2 of this two-volume sequence provides a detailed overview of protein structure prediction methods. This text is designed for professionals and students in biological and medical physics and biomedical engineering. It covers essential topics including protein threading, de novo methods, and applications related to membrane proteins and protein complexes. Readers can explore specialized areas such as structure-based drug design and the view of structure prediction as a systems problem. To support learning, the book includes several appendices. These sections review biological and chemical basics, computer science for structural informatics, and necessary mathematics and statistics. This resource serves as a deep dive into the computational tools used to understand protein architecture and its role in biological systems.

Key Features

Covers protein threading and de novo methods for comprehensive structure prediction learning.

Includes specialized applications for membrane proteins and protein complexes.

Explores structure-based drug design to assist in medical and pharmaceutical research.

Addresses structure prediction from a systems problem perspective.

Provides foundational knowledge through appendices on biology, chemistry, and computer science.

Includes necessary mathematical and statistical reviews for structural informatics.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 December 2010
Listed Since
20 September 2010

Barcode

No barcode data available

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