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Natural Compounds Are Smart Players in Context to Anticancer Potential of Receptor Tyrosine Kinases: An In Silico and In Vitro Advancement

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Part of the book series: Translational Medicine Research ((TRAMERE))

Abstract

Cancer is the ruling cause of mortality worldwide. Chemotherapeutic toxicity and drug resistance have provided impulsion for the formulation of new anticancer agents. Receptor tyrosine kinases (RTKs) are the most activated cell surface receptors for copious polypeptide growth factors, cytokines, and hormones that play a considerable role in cancer initiation, promotion, and progression. Natural products are a prime source of new anticancer drugs and their leads. The objective of computer-aided drug design (CADD) is to enhance the set of compounds with prudent active drug-like properties and eliminate inactive, toxic, poor absorption, distribution, metabolism, and excretion toxicity (ADME/T) compounds. In the present chapter, in silico advancement of anticancer natural compounds and molecular mechanisms of action of flavonoids, viz., genistein, myricetin, quercetin, luteolin, morin, kaempferol, catechin, and epigallocatechin gallate (EGCG), on RTK and PI3K signaling pathway attributing to their potential anticancer activity have been discussed.

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Acknowledgments

We would like to thank Vice Chancellor, Central University of Punjab, Bathinda, Punjab, (India) for supporting this study with infrastructural requirements. We also thank Professor P. Ramarao (Dean, Academic Affairs), Central University of Punjab, Bathinda, Punjab, India, for his suggestions during the course that tremendously helped to improve this article. This study was also supported by Senior Research Fellowship Grant-in-Aid from Indian Council of Medical Research (ICMR) awarded to PS.

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The authors declare that there is no conflict of interests regarding the publication of this article.

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Singh, P., Kumar, S., Bast, F. (2017). Natural Compounds Are Smart Players in Context to Anticancer Potential of Receptor Tyrosine Kinases: An In Silico and In Vitro Advancement. In: Wei, DQ., Ma, Y., Cho, W., Xu, Q., Zhou, F. (eds) Translational Bioinformatics and Its Application. Translational Medicine Research. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1045-7_8

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