The applications of deep learning algorithms on in silico druggable proteins identification

•We developed the first deep learning-based druggable protein classifier for fast and accurate identification of potential druggable proteins.•Experimental results on a standard dataset demonstrate that the prediction performance of deep learning model is comparable to those of existing methods.•We visualized the representations of druggable proteins learned by deep learning models, which helps us understand how they work.•Our analysis reconfirms that the attention mechanism is especially useful for explaining deep learning models.