Evidence map›Paper›PMID 42005983›Full record

ArticleIn silico pharmacology2026

Targeting SARS-CoV-2 main protease (3CL

Cemal Sandalli, Safiye Merve Bostancioglu, Aytul Sandalli, Emine Akyuz Turumtay, Dana Almohazey, Moneerah Alsaeed, Galyah Alhamid, Ali A Rabaan, Halbay Turumtay, Ei-Ichi Ami and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in In silico pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Cemal SandalliChristopher Bond Life Sciences Center, University of Missouri, Columbia, MO 65211 USA.
Safiye Merve BostanciogluDepartment of Biological Sciences, Middle East Technical University, 06800 Ankara, Türkiye.
Aytul SandalliDepartment of Biology, Karadeniz Technical University, 61080 Trabzon, Türkiye.
Emine Akyuz TurumtayDepartment of Chemistry, Recep Tayyip Erdogan University, 53100 Rize, Türkiye.
Dana AlmohazeyDepartment of Stem Cell Research, Institute for Research and Medical Consultations, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, 31441 Dammam, Saudi Arabia.
Moneerah AlsaeedDepartment of Genetics Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, P.O. Box 1982, 31441 Dammam, Saudi Arabia.
Galyah AlhamidDepartment of Genetics Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, P.O. Box 1982, 31441 Dammam, Saudi Arabia.
Ali A RabaanMolecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran, 31311 Saudi Arabia.
Halbay TurumtayDepartment of Energy System Engineering, Karadeniz Technical University, 61830 Trabzon, Türkiye.
Ei-Ichi AmiChristopher Bond Life Sciences Center, University of Missouri, Columbia, MO 65211 USA.
Christian L LorsonChristopher Bond Life Sciences Center, University of Missouri, Columbia, MO 65211 USA.
Mark HanninkChristopher Bond Life Sciences Center, University of Missouri, Columbia, MO 65211 USA.ORCID 0000-0002-7319-6572
Kamal SinghChristopher Bond Life Sciences Center, University of Missouri, Columbia, MO 65211 USA.
Huseyin TombulogluDepartment of Genetics Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, P.O. Box 1982, 31441 Dammam, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus Disease 19 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), stimulated intensive drug-development efforts throughout the world. As COVID-19 has become endemic in many regions of the world, phytochemicals used in ethnomedicine may have utility in the prevention or treatment of COVID-19. Here, we employed machine learning/deep learning drug discovery tools to evaluate compounds previously identified in roots of plants of the Paeonia genus for their drug-like properties and potential to inhibit 3CL Supplementary Information: The online version contains supplementary material available at10.1007/s40203-026-00630-7.

Indexed as

PaeoniaPaeoniflorigenonePhytochemicalsSARS-CoV-2; SARS-CoV-2, 3CLpro protease

Identifiers

PMID42005983
PMCPMC13090440

What OpenQuestion holds

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Registered trials

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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.