Computational Methods for Protein Structure Prediction Vol I

Computational Methods for Protein Structure Prediction Vol I

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Product Specifications

Publisher Vinra Publication All Public Health books by Vinra Publication
Author: Vinra Publication
Number of Pages 257
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Available in all digital devices
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Computational Methods for Protein Structure Prediction Vol I - Page 1 Computational Methods for Protein Structure Prediction Vol I - Page 2 Computational Methods for Protein Structure Prediction Vol I - Page 3 Computational Methods for Protein Structure Prediction Vol I - Page 4 Computational Methods for Protein Structure Prediction Vol I - Page 5

Computational Methods for Protein Structure Prediction Vol I by Vinra Publication
Book Summary:

Encyclopaedia of Prediction of Protein Structures, Functions, and Interactions covers study of prediction of protein structures, functions, and interactions. Protein structure prediction is the prediction of the threedimensional structure of a protein from its amino acid sequence that is, the prediction of its folding and its secondary, tertiary, and quaternary structure from its primary structure. Structure prediction is fundamentally different from the inverse problem of protein design.

Protein structure prediction is one of the most important goals pursued by bioinformatics and theoretical chemistry; it is highly important in medicine and biotechnology. The volume “Computational Methods for Protein Structure Prediction” is divided into five chapters.

Audience of the Book :
This book Useful for Medical Students.
Table of Content:

1. Three-Dimensional Protein Structure Prediction: Methods and Computational Strategies

2. Bhageerath-H: A Homology/Ab Initio Hybrid Server for Predicting Tertiary Structures of Monomeric Soluble Proteins

3. A Survey of Computational Intelligence Techniques in Protein Function Prediction

4. Advances in Human Biology: Combining Genetics and Molecular Biophysics to Pave the Way For Personalized Diagnostics and Medicine

5. Systems Biology in the Context of Big Data and Networks

Citations, Index