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Biochemical Data Science Lab's Projects

2019-plantdb_review icon 2019-plantdb_review

Source code and data of the paper entitled "Plant Metabolite Databases: From Herbal Medicines to Modern Drug Discovery"

2020-dili-cnn-mfe icon 2020-dili-cnn-mfe

Source code and data of the paper entitled "Predicting Drug-Induced Liver Injury Using Convolutional Neural Network and Molecular Fingerprint-Embedded Features"

2021-ianp-ec icon 2021-ianp-ec

Source code and data of the paper entitled "iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation"

2021-icyp-mfe icon 2021-icyp-mfe

Source code and data of the paper entitled "iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors using Multi-task Learning and Molecular Fingerprint-embedded Encoding"

2021-npbert-antimalaria icon 2021-npbert-antimalaria

Source code and data of the paper entitled "Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers"

2022-i4mc-gru icon 2022-i4mc-gru

Source code and data of the paper entitled "i4mC-GRU: Identifying DNA N4-Methylcytosine Sites in Mice using Bidirectional GRU and Sequence-embedded Features"

2022-ipromoter-seqvec icon 2022-ipromoter-seqvec

Source code and data of the paper entitled "iPromoter-Seqvec: Identifying Promoters using Bidirectional Long Short-Term Memory and Sequence-embedded Features"

2022-ir1ma-lstm icon 2022-ir1ma-lstm

Source code and data of the paper entitled "iR1mA-LSTM: Identifying N1-Methyladenosine Sites in Human Transcriptomes using Attention-based Bi-LSTM"

2023-i6ma-cnn icon 2023-i6ma-cnn

Source code and data of the paper entitled "i6mA-CNN: Identifying DNA N6-Methyladenine Sites in Mice using Convolutional Neural Networks with Multiple Kernel Sizes"

2024-iacp-gcr icon 2024-iacp-gcr

Source code and data of the paper entitled "iACP-GCR: Identifying multi-target anticancer compounds using multitask learning on graph convolutional residual neural networks"

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