PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction

25 Jul 2018Qingyuan FengEvgenia DuevaArtem CherkasovMartin Ester

In silico drug-target interaction (DTI) prediction is an important and challenging problem in biomedical research with a huge potential benefit to the pharmaceutical industry and patients. Most existing methods for DTI prediction including deep learning models generally have binary endpoints, which could be an oversimplification of the problem, and those methods are typically unable to handle cold-target problems, i.e., problems involving target protein that never appeared in the training set... (read more)

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