Label-Free Electrical Sensing of Small-Molecule Inhibition on Tyrosine Phosphorylation
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Bibliographic record
Abstract
Protein tyrosine kinases (PTKs) play a central role in human carcinogenesis and have emerged as the promising new targets. Small-molecule inhibitors of PTKs have shown impressive anticancer effects and are rapidly entering the clinic. PTK assays allow for high-throughput identification of small-molecule inhibitors. However, current methods of detecting kinase activity require the use of radioisotopes or expensive reagents; such as fluorescently labeled antibodies. We have developed a novel label-free approach for the quantitative detection of peptide tyrosine (Tyr) phosphorylation using the electrochemical oxidation current signal of Tyr. When the phosphorylation is achieved, the phosphorylated Tyr (Tyr-P) cannot be oxidized at approximately 0.65 V. However, when the phosphorylation is successfully inhibited using a small molecule, Tyr can be oxidized and result in a high current response on a multiwalled carbon nanotube-modified screen-printed carbon electrode. We determined the activity of cellular-sarcoma (c-Src) nonreceptor PTK, p60(c-Src), in combination with its highly specific substrate peptide, Raytide. Tyr kinase reactions were also performed in the presence of a well-defined small-molecule inhibitor, 4-amino-5-(4-chlorophenyl)-7- (tert-butyl)pyrazolo[3,4-d]pyrimidine (PP2). Based on the dependency of Tyr oxidation signal on inhibitor concentration, IC50 value, half-maximal inhibition of the inhibitor, was estimated as 5 nM for PP2. Our label-free electrochemical method is a promising candidate for pharmaceutical research and development in screening small-molecule inhibitors of PTKs.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it