Synopses & Reviews
This important new edition is for postgraduate students of Chemistry, Medicinal Chemistry and Biochemistry studying Molecular Modelling and Computational Chemistry. The book will also be useful to researchers in academia and in the pharmaceutical and chemical industries and to those teaching or attending courses in molecular modelling.
This new edition provides background theory in the techniques of molecular modelling,
illustrated with applications form the physical, chemical and biological sciences. It includes simple numerical examples and numerous explanatory figures and a colour plate section.
Key changes in this new edition
* expanded coverage of materials science and solid-state modelling
* extended chapter on drug design and chemoinformatics
* new chapter on protein structure including bioinformatics
* expanded coverage of Density Functional Theory
Dr Andrew Leach is a Group Leader at Glaxo Wellcome Research and Development Limited and a Visiting Fellow at the Department of Chemistry, University of Southampton, UK
Synopsis
This important new edition is for graduate students studying Molecular Modelling, Computational Chemistry within Chemistry, Medicinal Chemistry and Biochemistry. Postgraduates and researchers in academia and in the chemical and pharmaceutical industries. This new edition introduces background theory and techniques of molecular modelling, also illustrates applications in studying physical, chemical and biological phenomena. It includes simple numerical examples and numerous explanatory figures and a colour plate section.
About the Author
Dr. Andrew Leach is a Group Leader in Computational Chemistry and Informatics at Glaxo Wellcome Research and Development.
Table of Contents
Preface.
Symbols and physical constants.
1. Useful Concepts in Molecular Modelling.
2. An Introduction to Computational Quantum Mechanics.
3. Advanced AB Initio Methods, Density Functional Theory and Solid-State Quantum Mechanics.
4. Force Field Models: Molecular Mechanics.
5. Energy Minimisation and Related Methods for Exploring the Energy Surface.
6. Computer Simulation Methods.
7. Molecular Dynamics Simulation Methods.
8. Monte Carlo Simulation Methods.
9. Conformational Analysis.
10. Protein Structure Prediction, Sequence Analysis and Protein Folding.
11. Four Challenges in Molecular Modelling: Free Energies, Solvation, Reactions and Solid-State Defects.
12. The Use of Molecular Modelling and Chemoinformatics to Discover and Design New Molecules.