Biochemical Data Science Lab's repositories
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"
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
Source code and data of the paper entitled "iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation"
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-iPromoter-Seqvec
Source code and data of the paper entitled "iPromoter-Seqvec: Identifying Promoters using Bidirectional Long Short-Term Memory and Sequence-embedded Features"
2019-PlantDB_review
Source code and data of the paper entitled "Plant Metabolite Databases: From Herbal Medicines to Modern Drug Discovery"
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-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-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"
chemtonic_released
Python library for chemical data curation
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"