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.


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Source: ScienceDaily