QSAR modeling approaches to identify a novel ACE2 inhibitor that selectively bind with the C and N terminals of the ectodomain
Due to the high rates of drug development failure and the massive expenses associated with drug discovery, repurposing existing drugs has become more popular. As a result, we have used QSAR modelling on a large and varied dataset of 657 compounds in an effort to discover both explicit and subtle str...
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Main Authors: | , , , , , , , , , |
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Format: | Article |
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Taylor and Francis Group
2024
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Online Access: | http://eprints.sunway.edu.my/2550/ https://doi.org/10.1080/07391102.2023.2205948 |
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