LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening

Author:

Wang YangORCID,Zhang Zuxian,Piao Chenghong,Huang Ying,Zhang Yihan,Zhang Chi,Lu Yu-Jing,Liu Dongning

Funder

the National Key R&D Program of China

the China University Industry, University and Research Innovation Fund

the Shanghai Pujiang Programme

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference53 articles.

1. Ye Y, et al. Drug-target interaction prediction based on adversarial Bayesian personalized ranking. Biomed Res Int. 2021;2021:6690154.

2. Yang Z, et al. FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding. Front Comp Sci. 2022;17(5): 175903.

3. Huang K, et al. DeepPurpose: a deep learning library for drug–target interaction prediction. Bioinformatics. 2020;36(22–23):5545–7.

4. Cowen L, et al. Network propagation: a universal amplifier of genetic associations. Nat Rev Genet. 2017;18(9):551–62.

5. Cheng FX, et al. Network-based approach to prediction and population-based validation of in silico drug repurposing. Nat Commun. 2018;9:2691.

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