Evidence map›Paper›PMID 39840476›Full record

ArticleScience progress

On the importance of data curation for knowledge mining in antiviral research.

Holli-Joi Martin, Cleber C Melo-Filho, Alexey V Zakharov, Eugene Muratov, Alexander Tropsha

Abstract read
In one paragraph

Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Holli-Joi MartinUNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
Cleber C Melo-FilhoUNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
Alexey V ZakharovNational Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, MD, USA.
Eugene MuratovUNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0003-4616-7036
Alexander TropshaUNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.

Funding

Research Project 1: Coronavirus antiviral lead development and combination testingU19AI171292 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WILLSON, TIMOTHY M · 2022 to 2022
$65.5M
Enabling the Accelerated Discovery of Novel Chemical Probes by Integration of Crystallographic, Computational, and Synthetic Chemistry ApproachesR01GM140154 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROPSHA, ALEXANDER, WILLSON, TIMOTHY M · 2021 to 2024
$2.4M
NIAID NIH HHS U19 AI171292NIGMS NIH HHS R01 GM140154
6 · The paper itself

Abstract

The recent severe acute respiratory syndrome coronavirus 2 pandemic has clearly exemplified the need for broad-spectrum antiviral (BSA) medications. However, previous outbreaks show that about one year after an outbreak, interest in antiviral research diminishes and the work toward an effective medication is left unfinished. Martin et al. endeavored to support the early stages of focused BSA development by creating the Small Molecule Antiviral Compound Collection (SMACC), which is publicly available online at https://smacc.mml.unc.edu. SMACC is a highly curated database with over 32,500 entries of chemical compounds tested in both phenotypic and target-based assays across 13 viruses from the NIAID's list of emerging infectious diseases/pathogens. The authors advise judicious use of knowledge collections such as SMACC and recommend users critically evaluate retrieved data and resulting hypotheses prior to experimental testing. When used correctly, SMACC-like databases may serve as a reference for medicinal chemists and virologists working to develop novel BSA medications. To summarize, we emphasize the importance of data curation for both novel outbreak prediction and development of BSAs against these outbreaks.

Indexed as

Antiviral AgentsData CurationData MiningCOVID-19COVID-19 Drug TreatmentDatabases, FactualHumansSARS-CoV-2Antiviral AgentsBroad-spectrum antiviraldata curationdrug discoverydrug repurposingknowledge miningoutbreak prediction

Identifiers

PMID39840476
PMCPMC11752173

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.