An Introduction to Computational Biochemistry

C. Stan Tsai, Ph.D.

The application of computational tools is rapidly becoming a standard component of molecular biology and biochemistry curricula at both the undergraduate and graduate levels. Researchers in biochemistry are required to understand, at a minimum, the basic concepts of data management and analysis using computer programs. An Introduction to Computational Biochemistry is a comprehensive text ideal for providing a solid introduction to biochemical principles and the skills required for applying computational tools to practical problems in biochemistry.

Written for end users as opposed to programmers, the text can be used at an entry level to teach students biochemical principles as well as the specific uses of application programs for the acquisition, analysis, and management of biochemical data with computers. Each chapter contains problem sets as well as an introduction, a review of biological concepts, discussion of the programming techniques and applications, and key references. Some features of the text are:

* Provides detailed coverage of biochemical structures, enzyme reactions, metabolic simulation, genomic and proteomic analyses, and molecular modeling

* Demonstrates the broad applications and versatility of computers for use in solving biochemical problems

* Includes a handy appendix of software suppliers

* Follows a topical organization of core biochemistry textbooks for use as an essential supplement

* Reviews the fundamental biochemical principles

An Introduction to Computational Biochemistry promises to be an indispensable text for undergraduates, graduate students, researchers, and instructors in biochemistry, molecular biology, and biotechnology.

This text provides an introduction to biochemical principles and the skills required for applying computational tools to practical problems in biochemistry. Written for end users as opposed to programmers, the text can be used at an entry level to teach students biochemical principles as well as specific uses of application programs for the acquisition, analysis, and management of biochemical data with computers. Each chapter contains a review of biological concepts, discussion of programming techniques and applications, and problem sets. A list of software suppliers is included. Tsai teaches chemistry and biochemistry at Carleton University, Canada.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

This book provides a comprehensive introduction to biochemcial 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.

This comprehensive text offers a solid introduction to the biochemical principles and skills required for any researcher applying computational tools to practical problems in biochemistry. Each chapter includes an introduction to the topic, a review of the biological concepts involved, a discussion of the programming and applications used, key references, and problem sets and answers. Providing detailed coverage of biochemical structures, enzyme reactions, metabolic simulation, genomic and proteomic analyses, and molecular modeling, this is the perfect resource for students and researchers in biochemistry, bioinformatics, bioengineering and computational science.

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.