By Edgar Jacoby
Within the post-genomic period, one of many key demanding situations for drug discovery is making optimum use of the excellent genomic info to be had after the elucidation of the human genome and others on the way to establish potent new drugs. Addressing this problem, chemogenomics goals to spot systematically all ligands and modulators for all of the gene items expressed and permits the speeded up exploration in their organic functionality. the topic brings jointly varied disciplines together with chemistry, genetics, chemo- and bioinformatics, structural biology, and organic screening in phenotypic and target-based assays.This e-book uniquely integrates experiences of the most recent state-of-the-art study by way of leaders within the a variety of disciplines, offering a common, knowledge-centric evaluation of different chemical, organic and informatics parts. not like current courses, the ebook makes a speciality of how those disciplines have interaction successfully for the quick discovery of latest pursuits and their effector molecules concurrently. Examples of chemogenomics methods pursued in academia in addition to in biotech and pharmaceutical businesses also are supplied.
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Extra info for Chemogenomics: Knowledge-Based Approaches to Drug Discovery
Example text
In bioinformatics have focused mainly on genomic sequences and protein structures. Comprehensive gene ontologies like GO (gene ontology — see Table 1) that annotate the biological process — the molecular function and the cellular component of gene products — are the ultimate goal of this research. Compared to this, only limited effort has been put into annotation schemes for ligands. Ligand molecular information systems have evolved mainly from the need to track literature, patent and clinical status information.
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