Eisenhaber Discovering Biomolecular Mechanisms with Computational Biology

1. Auflage 2007
ISBN: 978-0-387-36747-7
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 152 Seiten

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.

Autoren/Hrsg.

Eisenhaber, Frank

Inhaltsverzeichnis

1;CONTENTS;5
2;INTRODUCTION Bloinformatics: Mystery, Astrology or Service Technology?;12
3;SECTION I Deriving Biological Function of Genome Information with Biomolecular Sequence and Structure Analysis;22
3.1;CHAPTER 1 Reliable and Specific Protein Function Prediction by Combining Homology with Genomic(s) G)ntext;23
3.2;CHAPTER 2 Clues from Three-Dimensional Structure Analysis and Molecular Modelling: New Insights into Cytochrome P450 Mechanisms and Functions;40
3.3;CHAPTER 3 Prediction of Protein Function: Two Basic Concepts and One Practical Recipe;49
4;SECTION II Complementing Biomolecular Sequence Analysis with Text Mining in Scientific Articles;65
4.1;CHAPTER 4 Extracting Information for Meaningful Function Inference through Text-Mining;66
4.2;CHAPTER 5 Literature and Genome Data Mining for Prioritizing Disease-Associated Genes;83
5;SECTION III Mechanistic Predictions from the Analysis of Biomolecular Networks;91
5.1;CHAPTER 6 Model-Based Inference of Transcriptional Regulatory Mechanisms from DNA Microarray Data;92
5.2;CHAPTER 7 The Predictive Power of Molecular Network Modelling: Case Studies of Predictions widi Subsequent Experimental Verification;102
6;SECTION IV Mechanistic Predictions from the Analysis of Biomolecular Sequence Populations: G) nsidering Evolution for Function Prediction;111
6.1;CHAPTER 8 Theory of Early Molecular Evolution: Predictions and Confirmations;112
6.2;CHAPTER 9 Hitchhiking Mapping: Limitations and Potential for the Identification of Ecologically Important Genes;122
6.3;CHAPTER 10 Understanding the Functional Importance of Human Single Nucleotide Polymorphisms;131
6.4;CHAPTER 11 Correlations between Quantitative Measures of Genome Evolution, Expression and Function;138
7;Index;150