Target annotation

Hepatitis/hepatocellular damage Agranulocytosis Erythemas Arrhythmias 

Nausea/vomiting Thrombocytopenia Eczema Congestive heart failure 

Ulceration Megaloblastic anemia Urticaria Angina/chest pain 

Thyroid dysfunction Airway obstruction Delirium, confusion Myalgia/ myopathy 

Sexual dysfunction Pulmonary infiltrates Depression Rhabdomyolysis 

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Fig. 26 Summary of hybridization kinetics using different concentrations of synthetic target. Annotations of concentration are in pg ml Solid lines are nonlinear least fits using (31). (Reprinted from Dhadwal et al. [2], with permission of Elsevier)...

Figure 15.3 Annotated ligand-target knowledge space.

Once data from thousands of different sequences derived from thousands of different tissues has been compiled, bioinformatic analysis of the data allows us to identify genes that show restricted patterns of expression, assisting in both annotation of function, and association with phenotype. This analysis can be extended to look for novel markers or targets, by analyzing those novel sequences that are co-expressed with known markers or targets. This has been applied to a number of diseases already, such as prostate cancer and Parkinson s disease [120, 164]. 

Schuffenhauer A, Jacoby E. (2004) Annotating and mining the ligand-target chemogenomics knowledge space. BioSilico 2 190-200. 

The adoption of hierarchical classification schemes for both chemical and biological entities makes the storage and analysis of annotated chemical libraries computationally tractable and reduced to managing binary annotation matrices. These binary matrices are often visually illustrated as heatmaps (Fig. 7), where red indicates that the molecule is annotated to a target (i.e. shows biological activity under a certain criteria), while green... 

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