Highlights the use of systems approaches including genomic, cellular, proteomic, metabolomic, bioinformatics, molecular, and biochemical, to address fundamental questions in complex diseases like cancer diabetes but also in aging.
Editorial Advisory Board.
List of Contributors.
Table of Contents.
Detailed Table of Contents.
1: Section I Basic Concepts in Medical Systems Biology.
2: Pathway Biology Approach to Medicine.
3: Systems and Control Theory for Medical Systems Biology.
4: Mathematical Description of Time Delays in Pathways Cross Talk.
5: Deterministic Modeling in Medicine.
6: Synthetic Biology as a Proof of Systems Biology.
7: Section II Advanced Computational Methods for Stytems Bioloby.
8: Computational Models for the Analysis of Modern Biological Data.
9: Computer Aided Knowledge Discovery in Biomedicine.
10: Section III Genomics and Bioinformatics for Systems Biology.
11: Function and Homology of Proteins Similar in Sequence: Phylogenetic Profiling.
12: Computational Methods for the Prediction of GPCRs Coupling Selectivity.
13: Bacterial β-Barrel Outer Membrane Proteins: A Common Structural Theme Implicated in a Wide Variety of Functional Roles.
14: Section IV Experimental Techniques for Systems Biology.
15: Clustering Methods for Gene-Expression Data.
16: Uncovering Fine Structure in Gene Expression Profile by Maximum Entropy Modeling of cDNA Microarray Images and Kernel Density Methods.
17: Gene Expression Profiling with the BeadArray− Platform.
18: The Affymetrix GeneChip® Microarray Platform.
19: Alternative Isoform Detection Using Exon Arrays.
20: Gene Expression in Microbial Systems for Growth and Metabolism.
21: Alternative Splicing and Disease.
22: Section V Systems Biology and Aging.
23: Mathematical Modeling of the Aging Process.
24: The Sebaceous Gland: The Sebaceous Gland: A Model of Hormonal Aging.
25: Section VI Systems Biology Applications in Medicine.
26: Systems Biology Applied to Cancer Research.
27: Systems Biology Strategies in Studies of Energy Homeostasis In Vivo.
28: Approaching Type 2 Diabetes Mellitus by Systems Biology.