Evidence map›Paper›PMID 34637304›Full record

ArticleJournal of the American Chemical Society2021

Machine-Learning-Guided Discovery of

Marcus Reis, Filipp Gusev, Nicholas G Taylor, Sang Hun Chung, Matthew D Verber, Yueh Z Lee, Olexandr Isayev, Frank A Leibfarth

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Automated active learning to optimize hydrogel drug release profiles.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
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  9. Article
  10. Review
  11. Article
  12. Article
  13. Autonomous Small-Angle Scattering for Accelerated Soft Material Formulation Optimization.Chemistry of materials : a publication of the American Chemical Society · 2025
    Article
  14. Article
  15. Machine Learning in Polymer Research.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
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

8 authors.

Marcus ReisDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Filipp GusevDepartment of Chemistry, Mellon College of Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.
Nicholas G TaylorDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Sang Hun ChungDepartment of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Matthew D VerberDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Yueh Z LeeDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Olexandr IsayevDepartment of Chemistry, Mellon College of Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.ORCID 0000-0001-7581-8497
Frank A LeibfarthDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.ORCID 0000-0001-7737-0331

Funding

Stereoselective Polymerization Methods for the Synthesis of Degradable BiomaterialsR35GM142666 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LEIBFARTH, FRANK ALBERT · 2021 to 2025
$1.7M
NIGMS NIH HHS R35 GM142666
6 · The paper itself

Abstract

Modern polymer science suffers from the curse of multidimensionality. The large chemical space imposed by including combinations of monomers into a statistical copolymer overwhelms polymer synthesis and characterization technology and limits the ability to systematically study structure-property relationships. To tackle this challenge in the context of

Indexed as

Contrast MediaFluorineMachine LearningMagnetic Resonance ImagingPolymersSoftwareSolubilityContrast MediaFluorinePolymers

Identifiers

PMID34637304
PMCPMC10833148

What OpenQuestion holds

Textmetadata
LicenceTDM
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.