Evidence map›Paper›PMID 40619342›Full record

ArticleVirulence2025

Identification of compounds targeting porcine reproductive and respiratory syndrome virus nsp3 and evaluation of their antiviral efficacy.

Zhan He, Zheng Nie, Jiali Liao, Min Liu, Fangfang Li, Binghua Chen, Chunhe Guo

Abstract read
In one paragraph

Article in Virulence, 2025. 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

7 authors.

Zhan HeGuangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Animal Disease Control and Prevention, Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, PR China.
Zheng NieKey Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology & College of Veterinary Medicine of Zhejiang A&F University, Hangzhou, Zhejiang, China.
Jiali LiaoGuangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Animal Disease Control and Prevention, Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, PR China.
Min LiuGuangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Animal Disease Control and Prevention, Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, PR China.
Fangfang LiGuangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Animal Disease Control and Prevention, Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, PR China.
Binghua ChenGuangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Animal Disease Control and Prevention, Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, PR China.
Chunhe GuoGuangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Animal Disease Control and Prevention, Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, PR China.ORCID 0000-0002-7859-1985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine reproductive and respiratory syndrome virus (PRRSV) is a major threat to global pig farming. Vaccines face challenges like viral recombination and low immunogenicity, highlighting the need for new antivirals. Using molecular docking technology, we screened 200 small molecules interacting with viral nonstructural protein 3 (nsp3) from a bioactive compound library. Based on the strength of these interactions and their antiviral efficacy, six compounds - Caffeic acid phenethyl ester (CAPE), BSB, KT203, N-Caffeoyl O-methyltyramine (NCOM), C646, and KS370G - were selected, each showing more than 50% inhibition of infection at a concentration of 20 µM. Notably, BSB demonstrated inhibitory effects only at 20 µM, whereas others exhibited effects at 5 µM, with a dose-dependent enhancement of their efficacy as concentrations increased. Pre-, co-, and post-treatment experiments revealed that C646 consistently inhibited viral replication, while KS370G was most effective as a pre-treatment. This suggests that early intervention is most effective in reducing viral replication. Both C646 and KS370G began to exert sustained inhibition of PRRSV after 12 h post-infection, with effects observed against multiple PRRSV strains. In conclusion, we identified six compounds as potential candidates for combating PRRSV infection, highlighting the significance of targeting PRRSV virulence proteins in discovering antivirals.

Indexed as

Antiviral AgentsPorcine respiratory and reproductive syndrome virusViral Nonstructural ProteinsAnimalsCaffeic AcidsCell LineMolecular Docking SimulationPorcine Reproductive and Respiratory SyndromeSmall Molecule LibrariesSwineVirus ReplicationAntiviral AgentsCaffeic AcidsSmall Molecule LibrariesViral Nonstructural Proteinsantiviral effectMolecular dockingPRRSVSmall moleculesvirulence

Identifiers

PMID40619342
PMCPMC12233893

What OpenQuestion holds

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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.