期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
AI-assisted identification of a novel Orthopoxvirus inhibitor targeting F13
1
作者 Junwen Luan Annan Ming +2 位作者 Wenbo Zhao Liyuan Zhang Leiliang Zhanag 《Biosafety and Health》 2025年第1期33-37,共5页
Treatment of mpox virus(MPxV)is crucial for public health.However,research into drugs for MPxV has fallen behind,particularly in anticipation of sudden outbreaks.This study aimed to identify new inhibitors of Orthopox... Treatment of mpox virus(MPxV)is crucial for public health.However,research into drugs for MPxV has fallen behind,particularly in anticipation of sudden outbreaks.This study aimed to identify new inhibitors of Orthopoxvirus using artificial intelligence(Al)-assisted methods.We explored AlphaFold v2.0 to simulate the F13 protein structures of MPXV,vaccinia virus(VACV),and variola virus(VARV).Utilizing MOE2019 software,we identified amino acid binding sites suitable for small molecule docking,focusing on a phosphodiesterase active site pocket in F13.Our efforts led to the identification of JCs-2022,a promising new inhibitor that exhibited docking similarities with the known anti-poxvirus drug tecovirimat.In vitro experiments demonstrated that JCS-2022 had a half maximal effective concentration(ECso)of 0.05430μmol/L(μM),comparable to tecovirimat's ECso of 0.04794μM.At a dosage of 1.6μM,JCS-2022 significantly reduced VACV plaque size,indicating effective inhibition of extracellular enveloped virus(EEV)formation.Immunofluorescence analysis confirmed a reduction in VACV-induced actin tail formation.Our findings suggest that JCS-2022 is a strong candidate for development as a small molecule inhibitor against Orthopoxvirus,highlighting the potential of Al-assisted methods in accelerating drug discovery for infectious diseases. 展开更多
关键词 Mpox mpox virus (MPXV) F13 Tecovirimat Artificial intelligence(Al)
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部