Evidence map›Paper›PMID 35726731›Full record

ArticleChemMedChem2022

When Virtual Screening Yields Inactive Drugs: Dealing with False Theoretical Friends.

José P Cerón-Carrasco

Abstract read
In one paragraph

Article in ChemMedChem, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Elucidating the Multi-Target Anti-Pruritic Mechanism ofCurrent issues in molecular biology · 2026
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  19. The 'Big Bang' of the chemical universe.Nature chemical biology · 2023
    Article
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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

1 author.

José P Cerón-CarrascoCentro Universitario de la Defensa, Academia General del Aire, Universidad Politécnica de Cartagena, C/Coronel López Peña S/N Santiago de La Ribera, 30720, Murcia, Spain.ORCID 0000-0003-0668-9227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search of antivirals against SARS-CoV-2 in available libraries of compounds was initiated as soon as WHO announced that the coronavirus outbreak became a pandemic. That pivotal task has been conducted by both experimental groups in wet-labs as well as by theoretical chemists in supercomputing centers. The combination of biochemical and clinical intuitions yields first to remdesivir, a broad-spectrum antiviral that remains as the standard solution for the treatment of severe cases, while paxlovid, molnupiravir and fluvoxamine have been recently proposed as oral alternatives. Unfortunately, the intensive publication of standard virtual screening (VS) simulations might be not the best strategy to increase that short list of antivirals. This contribution joins theory and biological assays to rescore massive VS. Our goal is to critically assess pros and cons of using molecular models for drug repurposing.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Antiviral AgentsCoronavirus 3C ProteasesDrug RepositioningFriendsHumansMolecular Docking SimulationProtease InhibitorsAntiviral AgentsCoronavirus 3C ProteasesProtease Inhibitorsantiviralscomputational methods - biological assaysCOVID-19drug designmain protease

Identifiers

PMID35726731
PMCPMC9542010

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.