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Current Topics in Medicinal Chemistry


ISSN (Print): 1568-0266
ISSN (Online): 1873-4294

Cheminfomatic-based Drug Discovery of Human Tyrosine Kinase Inhibitors

Author(s): Terry-Elinor Reid, Joseph M. Fortunak, Anthony Wutoh and Xiang Simon Wang

Volume 16, Issue 13, 2016

Page: [1452 - 1462] Pages: 11

DOI: 10.2174/1568026615666150915120814

Price: $65


Receptor Tyrosine Kinases (RTKs) are essential components for regulating cell-cell signaling and communication events in cell growth, proliferation, differentiation, survival and metabolism. Deregulation of RTKs and their associated signaling pathways can lead to a wide variety of human diseases such as immunodeficiency, diabetes, arterosclerosis, psoriasis and cancer. Thus RTKs have become one of the most important drug targets families in recent decade. Pharmaceutical companies have dedicated their research efforts towards the discovery of small-molecule inhibitors of RTKs, many of which had been approved by the U.S. Food and Drug Administration (US FDA) or are currently in clinical trials. The great successes in the development of small-molecule inhibitors of RTKs are largely attributed to the use of modern cheminformatic approaches to identifying lead scaffolds. Those include the quantitative structure-activity relationship (QSAR) modeling, as well as the structure-, and ligand-based pharmacophore modeling techniques in this case. Herein we inspected the literature thoroughly in an effort to conduct a comparative analysis of major findings regarding the essential structure-activity relationships (SARs)/pharmacophore features of known active RTK inhibitors, most of which were collected from cheminformatic modeling approaches.

Keywords: Cheminformatics, Ligand-based drug discovery, Quantitative structure–activity relationship, Pharmacophore modeling, Tyrosine kinase inhibitors, Vascular endothelial growth factor, Epidermal growth factor receptor, Platelet-derived growth factor receptor, Hepatocyte growth factor receptor.

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