In a groundbreaking study, researchers have successfully used a machine learning algorithm to identify drugs that could target specific subcellular components. This is the first time that an algorithm has been able to accurately identify drugs that are effective at targeting specific subcellular components, and the results could have far-reaching implications for the medical industry. The algorithm was trained on a large dataset of drug-target interactions, and was able to accurately predict the effects of drugs on subcellular components with an impressive 92% accuracy rate. This could lead to a new era of personalized medicine, where drugs can be tailored to a patient’s specific needs.

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source: Phys.org