DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
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DOI: 10.1371/journal.pcbi.1007129
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References listed on IDEAS
- Zhisong He & Jian Zhang & Xiao-He Shi & Le-Le Hu & Xiangyin Kong & Yu-Dong Cai & Kuo-Chen Chou, 2010. "Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features," PLOS ONE, Public Library of Science, vol. 5(3), pages 1-8, March.
- Zhu-Hong You & Keith C C Chan & Pengwei Hu, 2015. "Predicting Protein-Protein Interactions from Primary Protein Sequences Using a Novel Multi-Scale Local Feature Representation Scheme and the Random Forest," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-19, May.
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Cited by:
- Yuxuan Wang & Ying Xia & Junchi Yan & Ye Yuan & Hong-Bin Shen & Xiaoyong Pan, 2023. "ZeroBind: a protein-specific zero-shot predictor with subgraph matching for drug-target interactions," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
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