Evidence map›Paper›PMID 37400469›Full record

ArticleNature communications2023

Rapid planning and analysis of high-throughput experiment arrays for reaction discovery.

Babak Mahjour, Rui Zhang, Yuning Shen, Andrew McGrath, Ruheng Zhao, Osama G Mohamed, Yingfu Lin, Zirong Zhang, James L Douthwaite, Ashootosh Tripathi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Quaternary Carbons from Amines and Acids.Journal of the American Chemical Society · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Advancing Organic Chemistry Using High-Throughput Experimentation.Angewandte Chemie (International ed. in English) · 2025
    Review
  16. Article
  17. Article
  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

11 authors at 1 institution in 1 country.

Babak MahjourDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-8225-6514
Rui ZhangDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Yuning ShenDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, USA.
Andrew McGrathDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-9275-0017
Ruheng ZhaoDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, USA.
Osama G MohamedNatural Products Discovery Core, Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-3216-6948
Yingfu LinDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-1756-6636
Zirong ZhangDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, USA.
James L DouthwaiteDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-4478-9010
Ashootosh TripathiDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-2297-8088
Tim CernakDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, USA. tcernak@umich.edu.
University of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput experimentation (HTE) is an increasingly important tool in reaction discovery. While the hardware for running HTE in the chemical laboratory has evolved significantly in recent years, there remains a need for software solutions to navigate data-rich experiments. Here we have developed phactor™, a software that facilitates the performance and analysis of HTE in a chemical laboratory. phactor™ allows experimentalists to rapidly design arrays of chemical reactions or direct-to-biology experiments in 24, 96, 384, or 1,536 wellplates. Users can access online reagent data, such as a chemical inventory, to virtually populate wells with experiments and produce instructions to perform the reaction array manually, or with the assistance of a liquid handling robot. After completion of the reaction array, analytical results can be uploaded for facile evaluation, and to guide the next series of experiments. All chemical data, metadata, and results are stored in machine-readable formats that are readily translatable to various software. We also demonstrate the use of phactor™ in the discovery of several chemistries, including the identification of a low micromolar inhibitor of the SARS-CoV-2 main protease. Furthermore, phactor™ has been made available for free academic use in 24- and 96-well formats via an online interface.

Indexed as

COVID-19HumansSARS-CoV-2Software

Identifiers

PMID37400469
PMCPMC10318092
OpenAlexW4382932223

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.