ImageDTA: A Simple Model for Drug–Target Binding Affinity Prediction
Author:
Affiliation:
1. Software and Big Data Technology Department, Dalian Neusoft University of Information, Dalian, Liaoning 116023, China
2. Neusoft Research Institute, Dalian Neusoft University of Information, Dalian, Liaoning 116023, China
Funder
Dalian Science and Technology Innovation Fund
Foundation of Liaoning Education Ministry
United Foundation for Medicoengineering Cooperation from Dalian Neusoft University of Information and the Second Hospital of Dalian Medical University
Technology Innovation Project of Dalian Neusoft University of Information
Publisher
American Chemical Society (ACS)
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c02308
Reference26 articles.
1. Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019
2. The Current Status of Drug Discovery and Development as Originated in United States Academia: The Influence of Industrial and Academic Collaboration on Drug Discovery and Development
3. DeepDTA: deep drug–target binding affinity prediction
4. Öztürk, H.; Ozkirimli, E. Özgür, A. WideDTA: Prediction of Drug-Target Binding Affinity, 2019. arXiv:1902.04166. http://arxiv.org/abs/1902.04166 (accessed 2023-12-07).
5. GraphDTA: predicting drug–target binding affinity with graph neural networks
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