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Machine learning, bioinformatics analysis and chemical screening streamline target validation by identifying RNA helicase as a druggable essential protein in tobacco mosaic virus

Yawen Dong · Danxia Wu · Ji-Yun Zhang · Guangyi Huang · Juan Huang · Vinit Kumar · Wenbo Guo · Dongyu Chen · Abdallah S. Ali · Rasha H. Ahmed · Rosa Lozano-Durán · Daohong Gong · Biaobiao Jiang · Xiangyang Li · Feng-Biao Guo · Ge-Fei Hao
10.1016/j.jare.2026.06.007 387 Views 0 Citations
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Abstract not available for this publication.
Cite this Article (APA)
Yawen, D., Danxia, W., Ji-Yun, Z., Guangyi, H., Juan, H., Vinit, K., Wenbo, G., Dongyu, C., Abdallah, S. A., Rasha, H. A., Rosa, L., Daohong, G., Biaobiao, J., Xiangyang, L., Feng-Biao, G., Ge-Fei, H. (2026). Machine learning, bioinformatics analysis and chemical screening streamline target validation by identifying RNA helicase as a druggable essential protein in tobacco mosaic virus. Journal of Advanced Research. https://doi.org/10.1016/j.jare.2026.06.007
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Published in
ISSN 2090-1232
Quartile Q1
AMS Score 100
Field Medicine & Health Sciences
Publisher Elsevier B.V.
Country 🇪🇬 Egypt
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Publication Details
Year 2026
Language English
Added 11 Aug 2026