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Updated: Jul 11, 2026
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Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays
Published on: October 23, 2019
Protein kinase inhibitors: structural insights into selectivity
Ram Thaimattam1, Rahul Banerjee, Rajni Miglani
1Department of Molecular Modeling and Drug Design, Discovery Research, Bollaram Road, Miyapur, Hyderabad 500 049, India. ramthaimattam@drreddys.com
Current Pharmaceutical Design
|September 28, 2007
Summary
Protein kinases are crucial in diseases, and kinase inhibitors are key therapeutics. Structural data alone is insufficient for predicting inhibitor selectivity, necessitating a deeper understanding of governing rules.
Area of Science:
- Biochemistry
- Pharmacology
- Structural Biology
Background:
- Protein kinases play vital roles in cellular signaling and are implicated in numerous diseases, including cancer, inflammation, cardiovascular disease, and diabetes.
- Kinase inhibitors represent a significant class of therapeutics, with notable successes in small-molecule ATP-competitive agents.
Purpose of the Study:
- To review existing observations regarding protein kinase inhibitors.
- To gain insights into the rules governing protein kinase inhibitor selectivity.
- To address the limitations of predicting binding specificity using structural information alone.
Main Methods:
- Review of publicly available X-ray structures of protein kinases.
- Analysis of structure-activity relationships for kinase inhibitors.
- Examination of mechanisms of kinase inhibition.
Main Results:
- Over 400 X-ray structures of approximately 70 kinases are available, offering insights into inhibition.
- Structural information alone is insufficient for accurately predicting kinase inhibitor binding specificity.
- Understanding selectivity requires a comprehensive approach beyond structural data.
Conclusions:
- Further investigation is needed to elucidate the complex rules governing kinase inhibitor selectivity.
- Developing more effective kinase inhibitors requires a deeper understanding of selectivity determinants.
- Integrating structural insights with other biological and chemical data is crucial for rational drug design.
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