Novel Conjugation Strategies Using the Diels–Alder Reaction
Bibliographic record
Abstract
The development of new functional materials requires reliable conjugation chemistry for coupling molecular fragments under mild reaction conditions. The Diels–Alder (DA) reaction has been used in organic synthesis extensively over the past 90 years, but only recently has its ability to form fast and stable linkages been explored. New developments in small molecule DA reactivity have led to advances in protecting group chemistry and conjugation strategies. During my graduate studies, we developed novel diene-linkers, attached them onto antibodies, and conjugated maleimide-drugs to form DA antibody–drug conjugates. While exploring these adducts, we were able to exploit the lower retro-DA temperature of endo furan–maleimide adducts towards a new protecting group for maleimides in polymer synthesis. We also developed norbornadiene-containing polymers as a new “protected” form of cyclopentadiene that can be unmasked at room temperature with readily available reagents. These three conjugation strategies have enabled facile preparation of functional materials with more stable bonds and greater architectural complexity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".