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MHADTI: predicting drug-target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms. BRIEFINGS IN BIOINFORMATICS. OCT 2022. DOI 10.1093/bib/bbac434 |
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Machine learning approaches and databases for prediction of drug-target interaction: a survey paper. BRIEFINGS IN BIOINFORMATICS. 2021 |
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PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques. BRIEFINGS IN BIOINFORMATICS. 2021 |
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Predicting Protein-Ligand Docking Structure with Graph Neural Network. JOURNAL OF CHEMICAL INFORMATION AND MODELING. 2022 |
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D3AI-CoV: a deep learning platform for predicting drug targets and for virtual screening against COVID-19. BRIEFINGS IN BIOINFORMATICS. 2022 |
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An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction. BRIEFINGS IN BIOINFORMATICS. 2021 |
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A Novel Deep Neural Network Technique for Drug-Target Interaction. PHARMACEUTICS.2022 pdf |
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Machine learning approaches and databases for prediction of drug-target interaction: a survey paper. BRIEFINGS IN BIOINFORMATICS. JAN 2021. DOI 10.1093/bib/bbz157 pdf |
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Predicting target-ligand interactions with graph convolutional networks for interpretable pharmaceutical discovery. SCIENTIFIC REPORTS. 2022 pdf |
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Drug-target interaction predication via multi-channel graph neural networks. BRIEFINGS IN BIOINFORMATICS. 2022 |
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Predicting Drug-Target Interactions via Dual-Stream Graph Neural Network. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 2022 |
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MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm.. BRIEFINGS IN BIOINFORMATICS. 2021 |
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CoaDTI: multi-modal co-attention based framework for drug-target interaction annotation. BRIEFINGS IN BIOINFORMATICS. 2022 |
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BETA: a comprehensive benchmark for computational drug-target prediction. BRIEFINGS IN BIOINFORMATICS. 2022 |
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Drug-target interactions prediction via deep collaborative filtering with multiembeddings. BRIEFINGS IN BIOINFORMATICS. 2022 |
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A brief review of protein-ligand interaction prediction. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL. 2022 pdf |
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IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanism. Bioinformatics. 2022 |
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AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification. BRIEFINGS IN BIOINFORMATICS. 2022 |
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Predicting Drug-Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation. JOURNAL OF CHEMICAL INFORMATION AND MODELING. 2019 |
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GCRNN: graph convolutional recurrent neural network for compound-protein interaction prediction. BMC BIOINFORMATICS.2022 |
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DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method.. BRIEFINGS IN BIOINFORMATICS. 2021 |
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Drug target inference by mining transcriptional data using a novel graph convolutional network framework. PROTEIN & CELL. 2021 pdf |
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Deep learning in target prediction and drug repositioning: Recent advances and challenges. DRUG DISCOVERY TODAY. 2022 pdf |
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D3AI-CoV: a deep learning platform for predicting drug targets and for virtual screening against COVID-19. BRIEFINGS IN BIOINFORMATICS. 2022 |
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Identifying drug-target interactions based on graph convolutional network and deep neural network. BRIEFINGS IN BIOINFORMATICS. 2021 |
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DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning. JOURNAL OF CHEMINFORMATICS. 2021 pdf |
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MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. Bioinformatics.2021 |
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Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 2022 |
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Sequence-based prediction of protein binding regions and drug-target interactions. JOURNAL OF CHEMINFORMATICS. 2022 pdf |
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Prediction of drug-target interactions based on multi-layer network representation learning. NEUROCOMPUTING.2021 pdf |
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Graph neural network approaches for drug-target interactions. CURRENT OPINION IN STRUCTURAL BIOLOGY.2022 pdf |
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SSGraphCPI: A Novel Model for Predicting Compound-Protein Interactions Based on Deep Learning. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES.2022 pdf |
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Improved drug-target interaction prediction with intermolecular graph transformer. BRIEFINGS IN BIOINFORMATICS. 2022 |
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GNN-SubNet: disease subnetwork detection with explainable graph neural networks. Bioinformatics.2022 |
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DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug-Target interaction prediction. COMPUTERS IN BIOLOGY AND MEDICINE. 2022 pdf |
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Fine-tuning of BERT Model to Accurately Predict Drug-Target Interactions.PHARMACEUTICS.2022 pdf |
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DrugAI: a multi-view deep learning model for predicting drug-target activating/inhibiting mechanisms.. BRIEFINGS IN BIOINFORMATICS. 2022 |
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PIGNet: a physics-informed deep learning model toward generalized drug-target interaction predictions. CHEMICAL SCIENCE. 2022 pdf |
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Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework. IScience.2022 pdf |
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DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences. PLOS COMPUTATIONAL BIOLOGY. 2019 高引用 pdf |
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Graph Convolutional Neural Networks for Predicting Drug-Target Interactions. JOURNAL OF CHEMICAL INFORMATION AND MODELING. 高引用. 2019 |
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