Introduction


DeepDigest is a deep learning-based tool to predict the proteotypic cleavage sites for eight commonly used proteases (trypsin, ArgC, chymotrypsin, GluC, LysC, AspN, LysN, and LysargiNase). It integrates convolutional neural networks and long-short term memory networks to achieve high accuracy and robustness. Compared with traditional machine learning algorithms (logistic regression, random forest, and support vector machine), DeepDigest has superior performance for all the eight proteases.


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