Analytical and machine learning approaches identify a sea star steroid with promising activity for COVID-19 therapeutic development
8.3
来源：
Nature
关键字：
AI brain science
发布时间：
2025-10-08 07:34
摘要：
This study successfully isolated a steroid compound from the starfish Acanthaster planci, demonstrating promising antiviral activity against SARS-CoV-2 with an IC₅₀ of 5.86 µM. The research utilized advanced analytical techniques, including molecular docking and machine learning, to predict the compound's efficacy and streamline the drug discovery process. The findings emphasize the potential of marine natural products in developing effective antiviral therapies, particularly in response to COVID-19.
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关键证据
The compound exhibited 85% inhibition of SARS-CoV-2 at 5 ng/µl.
Molecular docking studies showed significant binding affinities to viral targets.
A machine learning model was developed to predict IC₅₀ values with high accuracy.
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AI评分总结
This study successfully isolated a steroid compound from the starfish Acanthaster planci, demonstrating promising antiviral activity against SARS-CoV-2 with an IC₅₀ of 5.86 µM. The research utilized advanced analytical techniques, including molecular docking and machine learning, to predict the compound's efficacy and streamline the drug discovery process. The findings emphasize the potential of marine natural products in developing effective antiviral therapies, particularly in response to COVID-19.