Summary and Info
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.Content: Chapter 1 Introduction (pages 1–10): Chapter 2 Biochemical Data: Analysis and Management (pages 11–40): Chapter 3 Biochemical Exploration: Internet Resources (pages 41–52): Chapter 4 Molecular Graphics: Visualization of Biomolecules (pages 53–71): Chapter 5 Biochemical Compounds: Structure and Analysis (pages 73–105): Chapter 6 Dynamic Biochemistry: Biomolecular Interactions (pages 107–121): Chapter 7 Dynamic Biochemistry: Enzyme Kinetics (pages 123–146): Chapter 8 Dynamic Biochemistry: Metabolic Simulation (pages 147–163): Chapter 9 Genomics: Nucleotide Sequences and Recombinant DNA (pages 165–182): Chapter 10 Genomics: Gene Identification (pages 183–208): Chapter 11 Proteomics: Protein Sequence Analysis (pages 209–231): Chapter 12 Proteomics: Prediction of Protein Structures (pages 233–268): Chapter 13 Phylogenetic Analysis (pages 269–284): Chapter 14 Molecular Modeling: Molecular Mechanics (pages 285–314): Chapter 15 Molecular Modeling: Protein Modeling (pages 315–341):
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