CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction
Author:
Funder
National Key Research and Development Project of China
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12539-024-00608-z.pdf
Reference36 articles.
1. Yang F, Zhang Q, Ji X et al (2022) Machine learning applications in drug repurposing. Interdiscip Sci 14(1):15–21. https://doi.org/10.1007/s12539-021-00487-8
2. Kale MA, Shamkuwar PB, Mourya VK et al (2022) Drug repositioning: a unique approach to refurbish drug discovery. Curr Drug Discov Technol 19(1):e140122192307. https://doi.org/10.2174/1570163818666210316114331
3. Ye Q, Hsieh CY, Yang Z et al (2021) A unified drug–target interaction prediction framework based on knowledge graph and recommendation system. Nat Commun 12(1):6775. https://doi.org/10.1038/s41467-021-27137-3
4. Lee H, Lee JW (2016) Target identification for biologically active small molecules using chemical biology approaches. Arch Pharm Res 39(9):1193–1201. https://doi.org/10.1007/s12272-016-0791-z
5. Schirle M, Jenkins JL (2016) Identifying compound efficacy targets in phenotypic drug discovery. Drug Discov Today 21(1):82–89. https://doi.org/10.1016/j.drudis.2015.08.001
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