Evidence map›Paper›PMID 36654744›Full record

ArticleACS pharmacology & translational science2023

Screening and Validation of Odorants against Influenza A Virus Using Interpretable Regression Models.

Swarit Jasial, Jieying Hu, Tomoyuki Miyao, Yui Hirama, Shintaro Onishi, Ryoichi Matsui, Koji Osaki, Kimito Funatsu

Open access · greenAbstract read
In one paragraph

Article in ACS pharmacology & translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Swarit JasialData Science Center and Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara630-0192, Japan.ORCID https://orcid.org/0000-0003-1415-8151
Jieying HuMaterial Science Research, Kao Corporation, 1334 Minato, Wakayama-shi, Wakayama640-8580, Japan.
Tomoyuki MiyaoData Science Center and Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara630-0192, Japan.ORCID https://orcid.org/0000-0002-8769-2702
Yui HiramaBiological Science Research, Kao Corporation, 2606 Akabane, Ichikai-machi, Haga-gun, Tochigi321-3426, Japan.
Shintaro OnishiBiological Science Research, Kao Corporation, 2606 Akabane, Ichikai-machi, Haga-gun, Tochigi321-3426, Japan.
Ryoichi MatsuiMaterial Science Research, Kao Corporation, 1334 Minato, Wakayama-shi, Wakayama640-8580, Japan.
Koji OsakiMaterial Science Research, Kao Corporation, 1334 Minato, Wakayama-shi, Wakayama640-8580, Japan.
Kimito FunatsuData Science Center and Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara630-0192, Japan.ORCID https://orcid.org/0000-0002-9368-0302
Kao Corporation (Japan) · JPNara Institute of Science and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza is a respiratory infection caused by the influenza virus that is prevalent worldwide. One of the most contagious variants of influenza is influenza A virus (IAV), which usually spreads in closed spaces through aerosols. Preventive measures such as novel compounds are needed that can act on viral membranes and provide a safe environment against IAV infection. In this study, we screened compounds with common fragrances that are generally used to mask unpleasant odors but can also exhibit antiviral activity against a strain of IAV. Initially, a set of 188 structurally diverse odorants were collected, and their antiviral activity was measured in vapor phase against the IAV solution. Regression models were built for the prediction of antiviral activity using this set of odorants by taking into account their structural features along with vapor pressure and partition coefficient (

Identifiers

PMID36654744
PMCPMC9841774
OpenAlexW4311749109

What OpenQuestion holds

Textmetadata
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.