Evidence map›Paper›PMID 36091415›Full record

ArticleDigital discovery2022

Parallel tempered genetic algorithm guided by deep neural networks for inverse molecular design.

AkshatKumar Nigam, Robert Pollice, Alán Aspuru-Guzik

Open access · diamondAbstract read
In one paragraph

Article in Digital discovery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
12.3field-weighted citation impact, top 1% of its field
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

28 citing papers in PubMed, 93 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Benchmarking 3D Structure-Based Molecule Generators.Journal of chemical information and modeling · 2025
    Article
  11. Review
  12. Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

3 authors at 2 institutions in 2 countries.

AkshatKumar NigamDepartment of Computer Science, Stanford University USA.ORCID https://orcid.org/0000-0002-5152-2082
Robert PolliceDepartment of Computer Science, University of Toronto Canada alan@aspuru.com.
Alán Aspuru-GuzikDepartment of Computer Science, University of Toronto Canada alan@aspuru.com.
University of Toronto · CACanadian Institute for Advanced Research · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inverse molecular design involves algorithms that sample molecules with specific target properties from a multitude of candidates and can be posed as an optimization problem. High-dimensional optimization tasks in the natural sciences are commonly tackled

Identifiers

PMID36091415
PMCPMC9358752
OpenAlexW4285179478

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.