Application of artificial neural networks to prediction of new substances with antimicrobial activity against Escherichia coli

This article presents models of artificial neural networks (ANN) employed to predict the biological activity of chemical compounds based of their structure. Regression and classification models were designed to determine antimicrobial properties of quaternary ammonium salts against Escherichia coli strain.

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