: Frank Eisenhaber
: Frank Eisenhaber
: Discovering Biomolecular Mechanisms with Computational Biology
: Springer-Verlag
: 9780387367477
: 1
: CHF 132.90
:
: Biochemie, Biophysik
: English
: 152
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

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.

CONTENTS5
INTRODUCTION Bloinformatics: Mystery, Astrology or Service Technology?12
SECTION I Deriving Biological Function of Genome Information with Biomolecular Sequence and Structure Analysis22
CHAPTER 1 Reliable and Specific Protein Function Prediction by Combining Homology with Genomic(s) G)ntext23
CHAPTER 2 Clues from Three-Dimensional Structure Analysis and Molecular Modelling: New Insights into Cytochrome P450 Mechanisms and Functions40
CHAPTER 3 Prediction of Protein Function: Two Basic Concepts and One Practical Recipe49
SECTION II Complementing Biomolecular Sequence Analysis with Text Mining in Scientific Articles65
CHAPTER 4 Extracting Information for Meaningful Function Inference through Text-Mining66
CHAPTER 5 Literature and Genome Data Mining for Prioritizing Disease-Associated Genes83
SECTION III Mechanistic Predictions from the Analysis of Biomolecular Networks91
CHAPTER 6 Model-Based Inference of Transcriptional Regulatory Mechanisms from DNA Microarray Data92
CHAPTER 7 The Predictive Power of Molecular Network Modelling: Case Studies of Predictions widi Subsequent Experimental Verification102
SECTION IV Mechanistic Predictions from the Analysis of Biomolecular Sequence Populations: G) nsidering Evolution for Function Prediction111
CHAPTER 8 Theory of Early Molecular Evolution: Predictions and Confirmations112
CHAPTER 9 Hitchhiking Mapping: Limitations and Potential for the Identification of Ecologically Important Genes122
CHAPTER 10 Understanding the Functional Importance of Human Single Nucleotide Polymorphisms131
CHAPTER 11 Correlations between Quantitative Measures of Genome Evolution, Expression and Function138
Index150