DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations

Research article (Chemical Science, 2020) · cited 242× · AI/ML
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DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations

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DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepscreen-high-performance-drugtarget-interaction-prediction-with-convolutional-neural-networks-using-2-d-structural-co
MLA “DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepscreen-high-performance-drugtarget-interaction-prediction-with-convolutional-neural-networks-using-2-d-structural-co.
BibTeX @misc{4ortxyz_deepscreen-high-performance-drugtarget-interaction-prediction-with-convolutional-neural-networks-using-2-d-structural-co_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations}}, year = {2026}, url = {https://4ort.xyz/entity/deepscreen-high-performance-drugtarget-interaction-prediction-with-convolutional-neural-networks-using-2-d-structural-co}, note = {Accessed: 2026-05-24}}
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