Blaise AI Blog
Blaise AI Blog
Medicinal chemistry, made legible.
This is where we publish notes on small-molecule design: how to reason about SAR, how to say “no” faster, and how to turn assays, structures, and constraints into concrete next molecules.
Blaise AI is an LLM-native workspace for medicinal chemists. The goal isn’t to generate endless molecules — it’s to produce grounded critique: what breaks, what’s plausible, what’s worth making, and what the next experiment should be.
Expect practical breakdowns of design decisions (property trade-offs, series strategy, matched-pair thinking), plus occasional deep dives into tooling: MMP analysis, ADME/Tox triage, conformers, and how to structure “chemist-style” evaluation loops around models.
What you’ll find here
- Design critique: why a molecule is a bad bet, not just why it might work.
- SAR mechanics: making local changes while respecting series context.
- Property negotiation: potency vs. logD vs. clearance vs. solubility—no miracles.
- Workflow notes: how to operationalize “good taste” in a reproducible loop.
- Product updates: new Blaise capabilities, guardrails, and UX decisions.
Start here
If you’re new, read the latest posts, then work backwards. Most entries assume you’re comfortable with medicinal chemistry vocabulary and want sharper heuristics, not motivational fluff.