Protein Structure Prediction 2nd Edition by Mohammed J Zaki, Christopher Bystroff ISBN 1588297527 9781588297525
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Product details:
ISBN 10: 1588297527
ISBN 13: 9781588297525
Author: Mohammed J. Zaki, Christopher Bystroff
This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules, such as small ligands, nucleic acids or other proteins. Also rapidly advancing are the methods for solving the inverse folding problem, the problem of finding a sequence to fit a structure. This book focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well known practitioners.
Table of contents:
Chapter 1 – Overview of Protein Structure Prediction
Chapter 2 – A Historical Perspective of Template-Based Protein Structure Prediction
Chapter 3 – The Assessment of Methods for Protein Structure Prediction
Chapter 4 – Template-based Methods
Chapter 5 – Aligning Sequences to Structures
Chapter 6 – Protein Structure Prediction Using Threading
Chapter 7 – Structure Alignment and Indexing
Chapter 8 – Algorithms for Multiple Protein Structure Alignment and Structure-Derived Multiple Sequence Alignment
Chapter 9 – Indexing Protein Structures Using Suffix Trees
Chapter 10 – Protein Features Prediction
Chapter 11 – Hidden Markov Models for Prediction of Protein Features
Chapter 12 – The Pros and Cons of Predicting Protein Contact Maps
Chapter 13 – Roadmap Methods for Protein Folding
Chapter 14 – Methods for de novo Structure Prediction
Chapter 15 – Scoring Functions for De Novo Protein Structure Prediction Revisited
Chapter 16 – Protein–Protein Docking: Overview and Performance Analysis
Chapter 17 – Molecular Dynamics Simulations of Protein Folding
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Tags: Mohammed J Zaki, Christopher Bystroff, Protein Structure, Prediction