Bioinformatics | Machine Learning | Pharmacology Hierarchical multimodal self-attention-based graph neural network for DTI prediction. June 26, 2024
Bioinformatics | Machine Learning | Pharmacology BINDTI: A bi-directional Intention network for drug-target interaction identification based on attention mechanisms. March 8, 2024
Bioinformatics | Computational Biology | Pharmaceutical Sciences Drug-target Affinity Prediction by Molecule Secondary Structure Representation Network. February 27, 2024
Pharmacology A comparison of embedding aggregation strategies in drug-target interaction prediction. February 6, 2024
Bioinformatics | Computational Biology | Drug Discovery SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug-target interactions. January 29, 2024
Bioinformatics | Computer Science | Pharmacology MCL-DTI: using drug multimodal information and bi-directional cross-attention learning method for predicting drug-target interaction. August 26, 2023
Neurology | Pharmacology Identifying potential drug-target interactions based on ensemble deep learning. July 3, 2023
Bioinformatics | Drug Discovery | Pharmacology DRaW: prediction of COVID-19 antivirals by deep learning-an objection on using matrix factorization. February 16, 2023
Bioinformatics | Drug Discovery | Pharmacology DeepMPF: deep learning framework for predicting drug-target interactions based on multi-modal representation with meta-path semantic analysis. January 26, 2023
Bioinformatics | Computational Biology | Pharmacology MHADTI: predicting drug-target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms. October 15, 2022
Pharmacology Drug-target Interaction Prediction Via Graph Auto-encoder and Multi-subspace Deep Neural Networks. September 15, 2022
Computational Biology | Pharmacology Matrix factorization with denoising autoencoders for prediction of drug-target interactions. July 23, 2022