Computational Methods for Protein Structure Prediction and Modeling: Volume 1: Basic Characterization

290,24 €*

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Ying Xu
703 g
240x164x24 mm
Biological and Medical Physics

Volume One of this two-volume sequence focuses on the basic characterization of known protein structures, and structure prediction from protein sequence information. Eleven chapters survey of the field, covering key topics in modeling, force fields, classification, computational methods, and structure prediction. Each chapter is a self contained review covering definition of the problem and historical perspective; mathematical formulation; computational methods and algorithms; performance results; existing software; strengths, pitfalls, challenges, and future research.
This book provides systematic technical expositions of the computational methods for all major aspects of protein structure analysis, prediction and modeling. The chapters have been designed to address comprehensively the main topics of the field. In addition, chapters will be connected seamlessly through a careful design of the overall structure of the book. Topics have been selected carefully so that the book would be useful to a broad readership, including students, postdoctoral fellows, professional practitioners, as well as bioinformatic experts who want to brush up topics related to their own research areas. The book can be used as a textbook for upper undergraduate-level or beginning graduate-level bioinformatics courses. To facilitate learning, four appendices describing the prerequisites for reading this book have been included, in (1) biology, (2) computer science, (3) physics and chemistry, and (4) mathematics and statistics.
A Historical Perspective and Overview of Protein Structure Prediction.- Empirical Force Fields.- Knowledge-Based Energy Functions for Computational Studies of Proteins.- Computational Methods for Domain Partitioning of Protein Structures.- Protein Structure Comparison and Classification.- Computation of Protein Geometry and Its Applications: Packing and Function Prediction.- Local Structure Prediction of Proteins.- Protein Contact Map Prediction.- Modeling Protein Aggregate Assembly and Structure.- Homology-Based Modeling of Protein Structure.- Modeling Protein Structures Based on Density Maps at Intermediate Resolutions.

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