Damian Nowak – Adam Bachorz – Professor Marcin Hoffmann | Using Machine Learning to Discover New Medicines

About this episode

Many researchers today are dedicated to the discovery of new medicines. Over the past few decades, their tireless efforts have culminated in a database of around 100 million known drug molecules. This value may already sound vast, but by current estimates, the true number of small drug-like molecules could actually range anywhere between 1023 – already more than the number of grains of sand on Earth – and 1060 – comparable to the number of atoms in an entire galaxy. With existing approaches, researchers ultimately need to test the medical potential of these molecules individually, taking up vast amounts of time and computing power. Read More

Original Article Reference

Summary of the paper ‘Neural Networks in the Design of Molecules with Affinity to Selected Protein Domains’, in International Journal of Molecular Sciences, doi.org/10.3390/ijms24021762


For further information, you can connect with Professor Marcin Hoffmann at marcin.hoffman@amu.edu.pl

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