Evidence map›Paper›PMID 41907497›Full record

ArticleACS central science2026

Higher-Level Strategies for Computer-Aided Retrosynthesis.

Jihye Roh, Joonyoung F Joung, Kevin Yu, Zhengkai Tu, G Logan Bartholomew, Omar A Santiago-Reyes, Mun Hong Fong, Richmond Sarpong, Sarah E Reisman, Connor W Coley

Abstract read
In one paragraph

Article in ACS central science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. ASKCOS: Open-Source, Data-Driven Synthesis Planning.Accounts of chemical research · 2025
    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

10 authors.

Jihye RohDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.ORCID https://orcid.org/0009-0005-0123-0646
Joonyoung F JoungDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.ORCID https://orcid.org/0000-0002-5976-2048
Kevin YuCenter for Computational Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Zhengkai TuDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
G Logan BartholomewDepartment of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0002-3023-4460
Omar A Santiago-ReyesDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
Mun Hong FongDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Richmond SarpongDepartment of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0002-0028-6323
Sarah E ReismanDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.ORCID https://orcid.org/0000-0001-8244-9300
Connor W ColeyDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.ORCID https://orcid.org/0000-0002-8271-8723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retrosynthesis is a core technique in organic chemistry that simplifies target molecules into more readily available components. Computer-aided synthesis planning (CASP) automates this process by recursively proposing immediate precursors to identify multistep synthetic pathways. However, CASP typically struggles for complex molecules that require longer synthetic pathways and present a greater number of possible disconnections. Here, we introduce a new

Identifiers

PMID41907497
PMCPMC13022727

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.