Evidence map›Paper›PMID 36307407›Full record

ArticleNature communications2022

Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors.

Paul Beroza, James J Crawford, Oleg Ganichkin, Leo Gendelev, Seth F Harris, Raphael Klein, Anh Miu, Stefan Steinbacher, Franca-Maria Klingler, Christian Lemmen

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
14.4field-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

49 citing papers in PubMed, 102 citations in OpenAlex.

  1. Article
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  7. Circumventing the Synthesizability Problem in Generative Molecular Design.Journal of chemical information and modeling · 2026
    Article
  8. Library Docking for Cannabinoid-2 Receptor Ligands.Journal of medicinal chemistry · 2026
    Article
  9. Review
  10. Article
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  12. Library docking for Cannabinoid-2 Receptor ligands.bioRxiv : the preprint server for biology · 2026
    Article
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  15. Article
  16. Review
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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 at 1 institution in 1 country.

Paul BerozaDiscovery Chemistry, Genentech, South San Francisco, USA. berozap@gene.com.ORCID 0000-0002-9407-1648
James J CrawfordDiscovery Chemistry, Genentech, South San Francisco, USA.ORCID 0000-0002-6408-8246
Oleg GanichkinProteros Biostructures GmbH, Planegg, Germany.
Leo GendelevDiscovery Chemistry, Genentech, South San Francisco, USA.
Seth F HarrisStructural Biology, Genentech, South San Francisco, USA.
Raphael KleinBioSolveIT GmbH, St. Augustin, Germany.
Anh MiuBiochemical and Cellular Pharmacology, Genentech, South San Francisco, USA.
Stefan SteinbacherProteros Biostructures GmbH, Planegg, Germany.ORCID 0000-0002-4224-8317
Franca-Maria KlinglerBioSolveIT GmbH, St. Augustin, Germany.ORCID 0000-0002-8295-374X
Christian LemmenBioSolveIT GmbH, St. Augustin, Germany.
Gene Therapy Laboratory · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the ever-increasing number of synthesis-on-demand compounds for drug lead discovery, there is a great need for efficient search technologies. We present the successful application of a virtual screening method that combines two advances: (1) it avoids full library enumeration (2) products are evaluated by molecular docking, leveraging protein structural information. Crucially, these advances enable a structure-based technique that can efficiently explore libraries with billions of molecules and beyond. We apply this method to identify inhibitors of ROCK1 from almost one billion commercially available compounds. Out of 69 purchased compounds, 27 (39%) have K

Indexed as

Protein Kinase InhibitorsProteinsLigandsMolecular Docking SimulationProtein BindingLigandsProtein Kinase InhibitorsProteins

Identifiers

PMID36307407
PMCPMC9616902
OpenAlexW4307722378

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.