A Flow Process Built upon a Batch Foundation—Preparation of a Key Amino Alcohol Intermediate via Multistage Continuous Synthesis
Bibliographic record
Abstract
This paper describes recent efforts to apply flow technology in the preparation of the key amino alcohol intermediate 3b so as to address manufacturability issues present in the batch process of a PRMT5 inhibitor. The continuous process, one of the first reported pharmaceutical processes to use aqueous NH 4 OH in flow, eliminates an isolation and the use of dichloromethane in the workup and improves reaction time >140-fold compared with the batch process to deliver multigram quantities of 3b in 60–65% isolated yield with >99 HPLC area % and >99% ee. While the flow process greatly increases the efficiency compared with the batch process, small-scale batch experiments were crucial in gaining reaction understanding to increase the kinetics and minimize impurity formation. The holistic process design underscores our belief that large-scale flow processes are built upon the knowledge gained through well-chosen small-scale batch experiments.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".