Technology & Health

Machine learning calculates affinities of drug candidates and targets

Technology and Health

Machine learning calculates affinities of drug candidates and targets

A new technology combining chemistry and machine learning could aid researchers during the drug discovery and screening process, according to scientists at MIT, US. The new technique, called DeepBAR, quickly calculates the binding affinities between drug candidates and their targets. The approach yields precise calculations in a fraction of the time compared to previous methods.

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