%0 Journal Article %A Hu, ShanShan %A Zhang, Chenglin %A Chen, Peng %A Gu, Pengying %A Zhang, Jun %A Wang, Bing %D 2019 %T MOESM2 of Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks %U https://springernature.figshare.com/articles/journal_contribution/MOESM2_of_Predicting_drug-target_interactions_from_drug_structure_and_protein_sequence_using_novel_convolutional_neural_networks/11454051 %R 10.6084/m9.figshare.11454051.v1 %2 https://springernature.figshare.com/ndownloader/files/20440119 %K Drug-target interactions %K CNN %K Protein sequence %K Ensemble method %X Additional file 2 In this file, to obtain the optimal learning rate of our model, a series of different learning rates are explored on each types of protein families of both Dataset1 and Dataset2. %I figshare