期刊
JOURNAL OF CHEMICAL INFORMATION AND MODELING
卷 -, 期 -, 页码 -出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jcim.2c01616
关键词
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This study utilized machine learning models and a generative algorithm to develop VX and thousands of analogues, highlighting the ease of designing chemical warfare agents. In this Viewpoint, 10 recommendations are discussed to prevent future biochemical threats.
We have previously applied our machine learning models for bioactivity and toxicity along with a generative algorithm to develop VX and tens of thousands of analogues. The publication brought attention to the ease of designing chemical warfare agents. In this Viewpoint, we discuss 10 recommendations to prevent future biochemical threats.
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