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Updated: Apr 10, 2026

Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays
Published on: October 23, 2019
Anchor-based classification and type-C inhibitors for tyrosine kinases
Kai-Cheng Hsu1, Tzu-Ying Sung1, Chih-Ta Lin1
1Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Researchers identified a new binding pocket in tyrosine kinases, leading to the discovery of natural compounds like rosmarinic acid (RA) and EGCG as selective kinase inhibitors. These compounds show promise for developing anti-cancer drugs with improved selectivity and resistance profiles.
Area of Science:
- Biochemistry
- Pharmacology
- Drug Discovery
Background:
- Tyrosine kinases are crucial biological regulators and key targets for cancer therapy.
- Developing selective and anti-resistance kinase inhibitors remains a significant challenge in oncology.
Purpose of the Study:
- To identify novel binding pockets in tyrosine kinases for targeted inhibitor design.
- To discover and characterize natural compounds with potential as selective and anti-resistant kinase inhibitors.
Main Methods:
- Docking 4,680 kinase inhibitors into 51 protein kinases to identify specific site-moiety maps and anchors.
- Screening 118,759 natural compounds using an anchor-based classification for tyrosine kinases.
- Synthesizing derivatives of identified natural compounds (rosmarinic acid and EGCG) to enhance potency.
Main Results:
- A new binding pocket in the C-terminal hinge region of tyrosine kinases was uncovered.
- Rosmarinic acid (RA) and EGCG were identified as type-C inhibitors, selectively targeting specific kinases.
- RA and EGCG demonstrated selectivity, inhibiting 3% and 14% of 64 tested kinases, respectively.
- Synthesized RA derivatives showed improved potency and maintained activity against drug-resistant EGFR.
- Type-C inhibitors reduced the invasion ability of breast cancer cells.
Conclusions:
- The discovery of a new binding pocket offers opportunities for developing highly selective and anti-drug resistant kinase inhibitors.
- Natural compounds like RA and EGCG, and their derivatives, represent promising candidates for novel cancer therapeutics.
- Type-C inhibitors targeting this new pocket show potential for effective cancer treatment due to their selectivity and ability to overcome drug resistance.
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