A combination of machine learning methods yields promising results for drug discovery
Computers and chemists have been friendly for a long time. But when it comes to drug discovery, current computational methods are often too drawn out and inefficient to identify the mechanism of action of drugs. Now, a multidisciplinary team of researchers believes artificial intelligence could help out in pharmacology studies. The team’s new approach successfully identified a potent inhibitor for 5-lipoxygenase, an enzyme that is over-expressed in a range of human tumours.