Exploring Time-Resolved Characterization of the Heterogeneity and Dynamics of Ligand-Receptor Interactions on Living Cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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