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Updated: Jan 23, 2026

Protein Kinase C-delta Inhibitor Peptide Formulation using Gold Nanoparticles
Published on: March 9, 2019
Rational creation and systematic analysis of cervical cancer kinase-inhibitor binding profile
1Department of Obstetrics and Gynaecology, the Fourth People's Hospital of Jinan, Second Affiliated Hospital of Taishan Medical University, Jinan, 250031, China.
Abstract:
The kinase-regulatory cell signaling networks play a central role in the pathogenesis of human cervical cancer (hCC). However, only few kinase inhibitors have been successfully developed for treatment of this cancer to date. Considering that the active sites of protein kinases are highly conserved and small-molecule inhibitors should generally exhibit high promiscuity and broad specificity across the hCC-related kinase array, it is supposed that the established kinase targets of hCC can be targeted unexpectedly by certain noncognate kinase inhibitors. This provides a novel idea to practice the new uses for old drugs in anti-cancer chemotherapy. Here, we create a systematic kinase-inhibitor binding profile in a high-throughput manner by molecular docking and consensus scoring, where the kinases have been collected as therapeutic targets of hCC and the inhibitors are reversible, ATP-competitive and readily available. The docking/scoring scheme is tested rigorously with structure-solved and affinity-known kinase-inhibitor complex samples, which is later demonstrated to be effective in inferring unexpected inhibitor response to hCC-related kinases. Few promising kinase-inhibitor pairs are identified from the profile and tested experimentally at cellular and molecular levels. It is found that the kinase-inhibitor promiscuity is a common phenomenon but only few can interaction effectively and inhibit potently. In addition, the high-scoring inhibitors generally exhibit good suppressing potency on hCC cell viability as compared to those low-scoring ones, imparting that the created profile can well reflect the tumor cytotoxicity of noncognate kinase inhibitors. A further kinase assay suggests that the ErbB family kinases are the potential targets of these high-scoring inhibitors, with noncognate inhibitory activity up to nanomolar level. Structure analysis reveals that the nonbonded interactions of potent noncogante kinase-inhibitor binding can divided into a polar tail and a nonpolar lobe, which confer specificity and stability to the binding, respectively.
Insights
Repurposing existing drugs to treat human cervical cancer (hCC) is possible by identifying noncognate kinase inhibitors. This study developed a novel computational method to predict effective drug-target pairs for hCC chemotherapy.
Area of Science:
- Oncology
- Pharmacology
- Computational Biology
Background:
- Kinase-regulatory cell signaling networks are crucial in human cervical cancer (hCC) pathogenesis.
- Limited success in developing specific kinase inhibitors for hCC necessitates novel therapeutic strategies.
Purpose of the Study:
- To explore the potential of repurposing existing drugs by identifying noncognate kinase inhibitors for hCC treatment.
- To develop and validate a computational approach for predicting effective kinase-inhibitor interactions in hCC.
Main Methods:
- Systematic kinase-inhibitor binding profiling using molecular docking and consensus scoring.
- High-throughput screening of readily available, ATP-competitive inhibitors against hCC-related kinases.
- Experimental validation of predicted kinase-inhibitor pairs at cellular and molecular levels.
Main Results:
- A computational profile effectively predicted noncognate inhibitor responses and tumor cytotoxicity.
- Kinase-inhibitor promiscuity is common, but only a few pairs showed potent inhibition.
- ErbB family kinases were identified as potential targets for high-scoring inhibitors, with nanomolar inhibitory activity.
Conclusions:
- The developed computational method can identify effective drug-target pairs for hCC, enabling drug repurposing.
- Noncognate kinase inhibition, particularly targeting ErbB kinases, offers a promising avenue for hCC chemotherapy.
- Understanding kinase-inhibitor binding interactions can guide the development of novel anti-cancer therapies.
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