Complex Peptide Biosensors for Detection of Intracellular Kinase Biomarkers
Bibliographic record
Abstract
Cyclin‐dependant kinases play a central role in coordinating cell cycle progression, and in sustaining proliferation of cancer cells, thereby constituting attractive pharmacological targets. We have developed a family of environmentally‐sensitive fluorescent peptide biosensors to probe the relative abundance and activities of CDK/cyclin kinases. CDKSENS and CDKACT sensors allow to probe CDK/Cyclin kinases in a sensitive and specific fashion in vitro. Complexation of these peptide biosensors with cell‐penetrating peptide carriers allows to form stable nanoparticles that can probe these kinases in living cells in a non‐invasive fashion (Kurzawa et al. PloS One 2011). This technology can be applied to monitor subtle alterations between healthy and cancer cell lines, to probe kinase levels and activities in tumour biopsies, and to monitor response to therapeutics in vitro and in vivo. Source of Funding: Grants to MCM “Chercheuse d'Avenir” Région Languedoc‐Roussillon and INCA
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".