Evidence map›Paper›PMID 23437413›Full record

ArticlePLoS neglected tropical diseases2013

High content screening of a kinase-focused library reveals compounds broadly-active against dengue viruses.

Deu John M Cruz, Andrea Cristine Koishi, Juliana Bosso Taniguchi, Xiaolan Li, Rafaela Milan Bonotto, Joo Hwan No, Keum Hyun Kim, Sungmin Baek, Hee Young Kim, Marc Peter Windisch and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

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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

16 authors at 5 institutions in 2 countries.

Deu John M CruzCenter for Neglected Diseases Drug Discovery (CND3), Institut Pasteur Korea, Seongnam-si, Gyeonggi-do, South Korea.
Andrea Cristine Koishi
Juliana Bosso Taniguchi
Xiaolan Li
Rafaela Milan Bonotto
Joo Hwan No
Keum Hyun Kim
Sungmin Baek
Hee Young Kim
Marc Peter Windisch
Ana Luiza Pamplona Mosimann
Luana de Borba
Michel Liuzzi
Michael Adsetts Edberg Hansen
Claudia Nunes Duarte dos Santos
Lucio Holanda Freitas-Junior
Institut Pasteur Korea · KRFundação Oswaldo Cruz · BRFundação Carlos Chagas · BRUniversidade Estadual Paulista (Unesp) · BRUniversidade Feevale · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus is a mosquito-borne flavivirus that has a large impact in global health. It is considered as one of the medically important arboviruses, and developing a preventive or therapeutic solution remains a top priority in the medical and scientific community. Drug discovery programs for potential dengue antivirals have increased dramatically over the last decade, largely in part to the introduction of high-throughput assays. In this study, we have developed an image-based dengue high-throughput/high-content assay (HT/HCA) using an innovative computer vision approach to screen a kinase-focused library for anti-dengue compounds. Using this dengue HT/HCA, we identified a group of compounds with a 4-(1-aminoethyl)-N-methylthiazol-2-amine as a common core structure that inhibits dengue viral infection in a human liver-derived cell line (Huh-7.5 cells). Compounds CND1201, CND1203 and CND1243 exhibited strong antiviral activities against all four dengue serotypes. Plaque reduction and time-of-addition assays suggests that these compounds interfere with the late stage of viral infection cycle. These findings demonstrate that our image-based dengue HT/HCA is a reliable tool that can be used to screen various chemical libraries for potential dengue antiviral candidates.

Indexed as

High-Throughput Screening AssaysAntiviral AgentsCell LineDengue VirusDrug DiscoveryHepatocytesHumansMicrobial Sensitivity TestsAntiviral Agents

Identifiers

PMID23437413
PMCPMC3578765
OpenAlexW2011561782

What OpenQuestion holds

Textmetadata
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.