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Computational Design of Multi-target Kinase Inhibitors

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Multi-Target Drug Design Using Chem-Bioinformatic Approaches

Part of the book series: Methods in Pharmacology and Toxicology ((MIPT))

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Abstract

As key regulators of every aspect of cell function, protein kinases are frequently associated with various human diseases. Therefore, protein kinase inhibition has become the second most important group of drug targets, after G-protein-coupled receptors. Owing to the complex and polygenic nature of diseases, designing multi-kinase small molecule inhibitors as potential therapies is gaining major consideration. Effective in silico drug design strategies are desired to identify multi-target kinase inhibitors. In this chapter, we summarize the two such effective computational strategies reported by our group to identify multi-target kinase inhibitors.

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Author information

Authors and Affiliations

  1. School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India

    Sinoy Sugunan & G. K. Rajanikant

Authors
  1. Sinoy Sugunan
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  2. G. K. Rajanikant
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Corresponding author

Correspondence to G. K. Rajanikant .

Editor information

Editors and Affiliations

  1. Department of Pharmaceutical Technology, Jadavpur University, Kolkata, West Bengal, India

    Kunal Roy

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Sugunan, S., Rajanikant, G.K. (2018). Computational Design of Multi-target Kinase Inhibitors. In: Roy, K. (eds) Multi-Target Drug Design Using Chem-Bioinformatic Approaches. Methods in Pharmacology and Toxicology. Humana Press, New York, NY. https://doi.org/10.1007/7653_2018_5

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  • DOI: https://doi.org/10.1007/7653_2018_5

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-8732-0

  • Online ISBN: 978-1-4939-8733-7

  • eBook Packages: Springer Protocols

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