Full Description
Introduction to Structural Bioinformatics offers a complete overview to the fundamental concepts and methodologies of structural bioinformatics and computational structural biology. The book is divided into three sections, beginning with a discussion of the key principles of bioinformatics and fundamental aspects including bioinformatics databases, multiple sequence alignment and machine learning. Section two then moves on to structural bioinformatics, where topics include Monte Carlo simulation, protein structure prediction, RNA structure prediction, and protein design. The final section of the book focuses on experimental structural determination, where chapters focus on techniques including X-ray crystallography, nuclear magnetic resonance and cryo-electron microscopy. This is an ideal guide to the key principles, methods and most up-to-date developments across structural bioinformatics and computational structural biology, providing a comprehensive reference for postgraduate students, instructors and researchers working in these and adjacent subjects.
Contents
Part 1: Bioinformatics Basics
1. Bioinformatics databases
2. Pairwise sequence alignments and database search
3. Evolution and phylogenetic tree
4. Multiple sequence alignments
5. Machine learning and deep neural-network learning
Part 2: Structural Bioinformatics
6. Protein structure alignments
7. Monte Carlo simulation and local energy minimization
8. Protein structure prediction
9. RNA structure prediction
10. Quaternary structure prediction
11. Function annotations
12. Protein design
Part 3: Experimental Structural Determination
13. Principle of X-ray crystallography and molecular replacement
14. Introduction to nuclear magnetic resonance
15. Cryo-electron microscopy for protein structure determination
