Author:
Tang Wuguo,Zhao Qichang,Wang Jianxin
Publisher
Springer Nature Singapore
Reference31 articles.
1. Rifaioglu, A.S., Atas, H., Martin, M.J., Cetin-Atalay, R., Atalay, V., Doğan, T.: Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases. Brief. Bioinform. 20(5), 1878–1912 (Sept 2019)
2. Zhao, H., Zhong, J., Liang, X., Xie, C., Wang, S.: Application of machine learning in drug side effect prediction: databases, methods and challenges. Front. Comput. Sci. (2024)
3. Thafar, M., Raies, A.B., Albaradei, S., Essack, M., Bajic, V.B.: Comparison study of computational prediction tools for drug-target binding affinities. Front. Chem. 7, 782 (2019)
4. Zhao, Q., Yang, M., Cheng, Z., Li, Y., Wang, J.: Biomedical data and deep learning computational models for predicting compound-protein relations. IEEE/ACM Trans. Comput. Biol. Bioinf. 19(4), 2092–2110 (2022)
5. Öztürk, H., Özgür, A., Ozkirimli, E.: DeepDTA: deep drug-target binding affinity prediction. Bioinformatics 34(17), i821–i829 (2018)