Study of B72.3 combining sites by molecular modeling and site-directed mutagenesis
Bibliographic record
Abstract
A B72.3 Fab/sTn(2) complex was modeled from the known structure of B72.3 Fab and the dimeric Tn-serine cluster (sTn(2)). In the complex model, the side chains of 15 heavy- and light-chain complementarity-determining region (CDR) residues and the main chains of two light-chain CDR residues contact the sTn(2) epitope. Among 15 CDR residues which contact sTn(2) in the model, two heavy-chain residues (Ser95 and Tyr97) and light-chain CDR residue (Tyr96) have been confirmed in a previous study. To test the accuracy of the computational model, further site-directed mutagenesis was performed by alanine scanning on the remaining 12 residues that are predicted in the model to have side-chain interactions with sTn(2). Of these 12 mutants, eight that are all from the heavy-chain (His32Ala, Ala33Leu, Tyr50Ala, Ser52Ala, Asn52Ala, Asp56Ala, Lys58Ala and Tyr96Ala) had significantly reduced sTn(2) affinities, and four consisting of three light-chain mutations (Asn32Ala, Trp92Ala and Thr94Ala) and one heavy-chain mutation (His35Ala) retained wild-type sTn(2) affinity. On the whole, this evidence suggests that the complex model, although not perfect, is correct in many of its features. In a more general vein, these results lend credibility to the computational modeling approach for the study of the molecular basis of antigen-antibody complexes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".