FedKD-DTI: Drug-Target Interaction Prediction Based on Federated Knowledge Distillation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5131-0_9
Reference22 articles.
1. Broach, J.R., Thorner, J.: High-throughput screening for drug discovery. Nature 384(6604), 14–6 (1996)
2. Chen, X.: Drug-target interaction prediction: databases, web servers and computational models. Briefings Bioinform. 17(4), 696–712 (2015)
3. Zhang, R., Wang, Z., Wang, X., Meng, Z., Cui, W.: MHTAN-DTI: metapath-based hierarchical transformer and attention network for drug-target interaction prediction. Briefings Bioinform. 24(2), bbad079 (2023)
4. Huang, K., Fu, T., Glass, L.M., Zitnik, M., Xiao, C., Sun, J.: DeepPurpose: a deep learning library for drug-target interaction prediction. Bioinformatics 36(22-23), 5545–5547 (2020)
5. Öztürk, H., Özgür, A., Ozkirimli, E.: DeepDTA: deep drug-target binding affinity prediction. Bioinformatics 34(17), i821–i829 (2018)
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