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Deep-Learning-Based Drug–Target Interaction Prediction

open access: yesJournal of Proteome Research, 2017
Identifying interactions between known drugs and targets is a major challenge in drug repositioning. In silico prediction of drug–target interaction (DTI) can speed up the expensive and time-consuming experimental work by providing the most potent DTIs ...
Zhimin Zhang, Hong-Mei Lu, Ming Wen
exaly   +2 more sources
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Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring.

Briefings in Bioinformatics, 2022
Truyen Tran   +2 more
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A survey of drug-target interaction and affinity prediction methods via graph neural networks

Computers in Biology and Medicine, 2023
Hongmin Cai, Na Han, Aqing Yang
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Current status and future prospects of drug–target interaction prediction

Briefings in Functional Genomics, 2021
Quan Zou, Chen Lin, Xiaoqing Ru
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TripletMultiDTI: Multimodal representation learning in drug-target interaction prediction with triplet loss function

Expert Systems With Applications, 2023
Sajjad Gharaghani   +2 more
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CoaDTI: multi-modal co-attention based framework for drug-target interaction annotation.

Briefings in Bioinformatics, 2022
Ka Chun Wong, Xingjian Chen, Jiecong Lin
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