NMR study of the differential contributions of residues of transforming growth factor alpha to association with its receptor
Bibliographic record
Abstract
A heteronuclear NMR study of human transforming growth factor alpha (TGFalpha) in complex with the epidermal growth factor receptor extracellular domain (EGFR-ED) provided an effective method for delineating the relative contributions of the residues of the ligand to its affinity for the receptor. In conjunction with previously obtained mutagenesis data, these results indicate that while a large number of residues are involved in complex formation and make up the binding interface, a small subset contribute most of the binding energy. They also show that while the residues which contribute to receptor binding are localized on one face of the molecule, the specific residues that play the major role in the affinity of TGFalpha in the complex are in two distinct regions of TGFalpha. This suggests that two small functional epitopes each composed of two residues exist within a larger structural epitope presented on the binding face. These results give the most detailed picture to date of the receptor binding determinants and yield further insight into the formation of the ligand-receptor complex.
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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 | 0.000 |
| 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".