This anthology presents critical reviews of methods and high-impact applications in computational biology that lead to results that non-bioinformaticians must also know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology explores the methodology of translating sequence strings into biological knowledge and considers exemplary groundbreaking results such as unexpected enzyme discoveries. This book also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation.
Author(s): Frank Eisenhaber
Series: Molecular Biology Intelligence Unit
Edition: 1st Edition.
Publisher: Springer
Year: 2010
Language: English
Pages: 152
Cover......Page 1
Inside Cover......Page 2
Copyright......Page 3
Dedication......Page 4
Contents......Page 5
Editor, Contributors......Page 9
INTRODUCTION - Bloinformatics: Mystery, Astrology or Service Technology?......Page 12
SECTION I - Deriving Biological Function of Genome Information with Biomolecular Sequence and Structure Analysis......Page 22
CHAPTER 1. Reliable and Specific Protein Function Prediction by Combining Homology with Genomic(s) G)ntext......Page 23
CHAPTER 2. Clues from Three-Dimensional Structure Analysis and Molecular Modelling: New Insights into Cytochrome P450 Mechanisms and Functions......Page 40
CHAPTER 3. Prediction of Protein Function: Two Basic Concepts and One Practical Recipe......Page 49
SECTION II - Complementing Biomolecular Sequence Analysis with Text Mining in Scientific Articles......Page 65
CHAPTER 4. Extracting Information for Meaningful Function Inference through Text-Mining......Page 66
CHAPTER 5. Literature and Genome Data Mining for Prioritizing Disease-Associated Genes......Page 83
SECTION III - Mechanistic Predictions from the Analysis of Biomolecular Networks......Page 91
CHAPTER 6. Model-Based Inference of Transcriptional Regulatory Mechanisms from DNA Microarray Data......Page 92
CHAPTER 7. The Predictive Power of Molecular Network Modelling: Case Studies of Predictions widi Subsequent Experimental Verification......Page 102
SECTION IV - Mechanistic Predictions from the Analysis of Biomolecular Sequence Populations: G)nsidering Evolution for Function Prediction......Page 111
CHAPTER 8. Theory of Early Molecular Evolution: Predictions and Confirmations......Page 112
CHAPTER 9. Hitchhiking Mapping: Limitations and Potential for the Identification of Ecologically Important Genes......Page 122
CHAPTER 10. Understanding the Functional Importance of Human Single Nucleotide Polymorphisms......Page 131
CHAPTER 11. Correlations between Quantitative Measures of Genome Evolution, Expression and Function......Page 138
Index......Page 150
