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README.md
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### Model Description
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Chemical specific parameters are either measured
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structure–activity relationship (QSAR) models. The existing body of QSAR work relies on extracting a
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set of descriptors or fingerprints, subset selection, and training a machine learning model. In this work,
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we used a state-of-the-art natural language processing model, Bidirectional Encoder Representations from Transformers
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### Model Description
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Chemical specific parameters are either measured _in vitro_ or estimated using quantitative
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structure–activity relationship (QSAR) models. The existing body of QSAR work relies on extracting a
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set of descriptors or fingerprints, subset selection, and training a machine learning model. In this work,
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we used a state-of-the-art natural language processing model, Bidirectional Encoder Representations from Transformers
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