Deep machine learning completes information about the bioactivity of one million molecules

A newly developed tool predicts the biological activity of chemical compounds, key information to evaluate their therapeutic potential. Using artificial neural networks, scientists have inferred experimental data for a million compounds and have developed a package of programs to make estimates for any type of molecule.

source https://www.sciencedaily.com/releases/2021/06/210628132154.htm