An Introduction To Computational Biochemistry

This book provides a comprehensive introduction to biochemical principles and the skills required for applying computational tools to practical problems in biochemistry. It also details biochemical structures, enzyme reactions, metabolic simulation, genomic and proteomic analyses, and molecular modeling, as well as demonstrating the broad applications and versatility of computers for use in solving biochemical problems.


Table of contents :
Preface
Introduction

· Biochemistry Data: Analysis and Management
· Biochemical Exploration: Internet Resources
· Molecular Graphics: Visualization of Biomolecules
· Biochemical Compounds: Structure and Analysis
· Dynamic Biochemistry: Biomolecular Interactions
· Dynamic Biochemistry: Enzyme Kinetics
· Dynamic Biochemistry: Metabolic Simulation
· Genomics: Nucleotide Sequences and Recombinant DNA
· Genomics: Gene Identification
· Proteomics: Protein Sequence Analysis
· Proteomics: Prediction of Protein Structures
· Phylogenetic Analysis
· Molecular Modeling: Molecular Mechanics
· Molecular Modeling: Protein Modeling

Appendix 1: List of Software Programs
Appendix 2: List of World Wide Web Servers


Market Description :
· Primary: Students in Biochemistry, Bioinformatics, Biotechnology or Bioengineering, Computational Sciences, Chemistry, Molecular Biology
· Secondary: Researchers in the above fields
· Tertiary: Students and researchers in Computer science, Biomedical fields

About Author :
Stan Tsai received his Ph.D. (1963) in Biochemistry from Purdue University, and completed postdoctoral training in Chemistry at Cornell University and in biosciences at the National Research Council of Canada. He received the Ontario University Faculty Teaching Award in 1976. He is Professor in the Department of Chemistry and is a founding member and director of the Institute of Biochemistry, Carleton University.