ArticleInternational journal of molecular sciences2021
Identification of African Swine Fever Virus Inhibitors through High Performance Virtual Screening Using Machine Learning.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
The trial behind it
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Mechanistic insights and therapeutic advances in antiviral strategies against African swine fever virus.Acta pharmaceutica Sinica. B · 2026Review
- Host-Microbe Interactions: Prospects of Machine Learning and Deep Learning Technologies in Animal Viral Disease Management.Veterinary sciences · 2025Review
- A deep learning and molecular modeling approach to repurposing Cangrelor as a potential inhibitor of Nipah virus.Scientific reports · 2025Article
- A novel high-throughput screen identifies phenazine-1-carboxylic acid as an inhibitor of African swine fever virus replication in primary porcine alveolar macrophages.Veterinary research · 2025Article
- Exploring antiviral strategies to combat African swine fever.FEMS microbiology reviews · 2025Review
- Screening for Potential Antiviral Compounds from Cyanobacterial Secondary Metabolites Using Machine Learning.Marine drugs · 2024Article
- Article
- Review
- Polygalic acid inhibits african swine fever virus polymerase activity: findings from machine learning and in vitro testing.Journal of computer-aided molecular design · 2023Article
- Virtual Screening Based on Machine Learning Explores Mangrove Natural Products as KRASPharmaceuticals (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
African swine fever virus (ASFV) is a highly contagious virus that causes severe hemorrhagic viral disease resulting in high mortality in domestic and wild pigs, until few antiviral agents can inhibit ASFV infections. Thus, new anti-ASFV drugs need to be urgently identified. Recently, we identified pentagastrin as a potential antiviral drug against ASFVs using molecular docking and machine learning models. However, the scoring functions are easily influenced by properties of protein pockets, resulting in a scoring bias. Here, we employed the 5'-P binding pocket of
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What OpenQuestion holds
Registered trials
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.