Evidence map›Paper›PMID 34946667›Full record

ArticleMolecules (Basel, Switzerland)2021

Virtual Screening in Search for a Chemical Probe for Angiotensin-Converting Enzyme 2 (ACE2).

Iryna O Kravets, Dmytro V Dudenko, Alexander E Pashenko, Tatiana A Borisova, Ganna M Tolstanova, Sergey V Ryabukhin, Dmitriy M Volochnyuk

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Iryna O KravetsInstitute of High Technologies, Taras Shevchenko National University of Kyiv, 60 Volodymyrska Street, 01033 Kyiv, Ukraine.
Dmytro V DudenkoEnamine Ltd., 78 Chervonotkatska Street, 02660 Kyiv, Ukraine.
Alexander E PashenkoInstitute of High Technologies, Taras Shevchenko National University of Kyiv, 60 Volodymyrska Street, 01033 Kyiv, Ukraine.
Tatiana A BorisovaPalladin Institute of Biochemistry of the National Academy of Sciences of Ukraine, Leontovycha St. 9, 02000 Kyiv, Ukraine.
Ganna M TolstanovaInstitute of High Technologies, Taras Shevchenko National University of Kyiv, 60 Volodymyrska Street, 01033 Kyiv, Ukraine.
Sergey V RyabukhinInstitute of High Technologies, Taras Shevchenko National University of Kyiv, 60 Volodymyrska Street, 01033 Kyiv, Ukraine.ORCID 0000-0003-4281-8268
Dmitriy M VolochnyukInstitute of High Technologies, Taras Shevchenko National University of Kyiv, 60 Volodymyrska Street, 01033 Kyiv, Ukraine.

Funding

National Research Foundation of Ukraine 0120U105188
6 · The paper itself

Abstract

We elaborate new models for ACE and ACE2 receptors with an excellent prediction power compared to previous models. We propose promising workflows for working with huge compound collections, thereby enabling us to discover optimized protocols for virtual screening management. The efficacy of elaborated roadmaps is demonstrated through the cost-effective molecular docking of 1.4 billion compounds. Savings of up to 10-fold in CPU time are demonstrated. These developments allowed us to evaluate ACE2/ACE selectivity in silico, which is a crucial checkpoint for developing chemical probes for ACE2.

Indexed as

COVID-19 Drug TreatmentDrug DiscoveryDrug Evaluation, PreclinicalAngiotensin-Converting Enzyme 2Computer SimulationCOVID-19HumansMolecular Docking SimulationMolecular Dynamics SimulationSARS-CoV-2ACE2 protein, humanAngiotensin-Converting Enzyme 2ACE2angiotensin-converting enzyme 2drug discoveryinhibitorsmolecular dockingmolecular probeREAL databaseSARS-CoV-2virtual screening

Identifiers

PMID34946667
PMCPMC8707431

What OpenQuestion holds

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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.