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Computational modelling and high-throughput virtual screening identify ZINC000085626889 as a promising natural lead against influenza A virus.

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Title: Computational modelling and high-throughput virtual screening identify ZINC000085626889 as a promising natural lead against influenza A virus.
Authors: Kumar, Ashish1 akumar@kku.edu.sa, Deshpande, Kalyani2
Source: Current Science (00113891). 10/25/2025, Vol. 129 Issue 8, p732-738. 7p.
Database: Academic Search Ultimate
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  Data: Computational modelling and high-throughput virtual screening identify ZINC000085626889 as a promising natural lead against influenza A virus.
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  Data: <searchLink fieldCode="AR" term="%22Kumar%2C+Ashish%22">Kumar, Ashish</searchLink><relatesTo>1</relatesTo><i> akumar@kku.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Deshpande%2C+Kalyani%22">Deshpande, Kalyani</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Current+Science+%2800113891%29%22">Current Science (00113891)</searchLink>. 10/25/2025, Vol. 129 Issue 8, p732-738. 7p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188917286
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        Value: 10.18520/cs/v129/i8/732-738
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      – TitleFull: Computational modelling and high-throughput virtual screening identify ZINC000085626889 as a promising natural lead against influenza A virus.
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              Text: 10/25/2025
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