AI FOR SCIENCE · ON THE RECORD
Institute of Science Tokyo
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Research on the record
- 2026-10-16A plug-in that adds differentiable restraints to the denoising step wipes out ligand chirality and cis/trans errors in six structure predictors, AlphaFold3 among themLevel 2 · Computed
- 2026-09-21A few hundred real assay labels are enough to sharpen Boltz-2's virtual-screening picksLevel 3 · Checked against existing evidence
- 2026-09-21Fine-tuning Boltz-2 on a few hundred lab measurements nearly doubles its hit rate in virtual screeningLevel 3 · Checked against existing evidence
Graded by how far the evidence went, not how good the result is. See the methodology.
People
Only people the AI4S.fyi record has named: in a round, a timeline entry, commentary, an interview or a sourced role. Not the full team.
Named on AI4S.fyi
- RRyuichiro IshitaniAuthor affiliation on a 2026 preprint (corresponding author), Computational Drug Discovery and Design A plug-in that adds differentiable restraints to the denoising step wipes out ligand chirality and cis/trans errors in six structure predictors, AlphaFold3 among them
- TTatsuki HoriAuthor affiliation on a 2026 preprint (first author), Computational Drug Discovery and Design A plug-in that adds differentiable restraints to the denoising step wipes out ligand chirality and cis/trans errors in six structure predictors, AlphaFold3 among them
- YYoshitaka MoriwakiAssociate Professor, Medical Research Institute (Laboratory of Computational Drug Discovery) A plug-in that adds differentiable restraints to the denoising step wipes out ligand chirality and cis/trans errors in six structure predictors, AlphaFold3 among them
- KKairi FuruiAuthor affiliation on a 2026 paper A few hundred real assay labels are enough to sharpen Boltz-2's virtual-screening picks
This page compiles what AI4S.fyi has recorded and links each item to its source. It is not a grade of the organization and not its complete history: a blank means the record has not caught up as often as it means nothing happened.