Exploring Time-Resolved Characterization of the Heterogeneity and Dynamics of Ligand-Receptor Interactions on Living Cells
Bibliographic record
Abstract
The time-resolved interaction analysis was applied on living cells to extract detailed interaction characteristics of two therapeutic antibodies and natural ligand binding to the same receptor expressed on two different human carcinoma cell lines. The observed differences in the antibody binding characteristics and heterogeneity could be attributed both to differences in antibodies and cell lines. The stability of antibody binding to EGFR on cells is significantly higher than the binding stability to isolated EGFR. This higher stability can be of fundamental importance as it potentially shifts the drug-target residence time into a domain that is limiting in pharmacokinetics and hence is of importance for in vivodrug efficacy. EGF binding to its receptor was more heterogeneous and it was demonstrated for the first time that time-resolved interaction measurements in combination with Interaction Map analysis could be used to probe the dynamics of a ligand (protein) induced dimerization and/or oligomerization process.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".