Evidence map›Paper›PMID 41554982›Full record

ArticleNature2026

Collective intelligence for AI-assisted chemical synthesis.

Haote Li, Sumon Sarkar, Wenxin Lu, Patrick O Loftus, Tianyin Qiu, Yu Shee, Abbigayle E Cuomo, John-Paul Webster, H Ray Kelly, Vidhyadhar Manee and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Haote Li *Department of Chemistry, Yale University, New Haven, CT, USA.ORCID 0000-0002-8146-5066
Sumon Sarkar *Department of Chemistry, Yale University, New Haven, CT, USA.
Wenxin LuDepartment of Chemistry, Yale University, New Haven, CT, USA.ORCID 0000-0001-6388-7743
Patrick O LoftusDepartment of Chemistry, Yale University, New Haven, CT, USA.ORCID 0009-0009-5952-1090
Tianyin QiuDepartment of Chemistry, Yale University, New Haven, CT, USA.ORCID 0000-0002-3490-8469
Yu SheeDepartment of Chemistry, Yale University, New Haven, CT, USA.
Abbigayle E CuomoDepartment of Chemistry, Yale University, New Haven, CT, USA.
John-Paul WebsterDepartment of Chemistry, Yale University, New Haven, CT, USA.
H Ray KellyChemical Development, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.ORCID 0000-0003-3811-0662
Vidhyadhar ManeeChemical Development, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Sanil SreekumarChemical Development, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Frederic G BuonoChemical Development, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Robert H CrabtreeDepartment of Chemistry, Yale University, New Haven, CT, USA.ORCID 0000-0002-6639-8707
Timothy R NewhouseDepartment of Chemistry, Yale University, New Haven, CT, USA. timothy.newhouse@yale.edu.ORCID 0000-0001-8741-7236
Victor S BatistaDepartment of Chemistry, Yale University, New Haven, CT, USA. victor.batista@yale.edu.ORCID 0000-0002-3262-1237

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exponential growth of scientific literature presents an increasingly acute challenge across disciplines. Hundreds of thousands of new chemical reactions are reported annually, yet translating them into actionable experiments becomes an obstacle

Indexed as

Artificial IntelligenceChemistry Techniques, SyntheticLarge Language ModelsPharmaceutical PreparationsReproducibility of ResultsPharmaceutical Preparations

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.