In silico drug discovery: a machine learning-driven systematic review
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00044-024-03260-w.pdf
Reference247 articles.
1. Rifaioglu AS, Atas H, Martin MJ, 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. 2019;20:1878–912.
2. Iwata H. Application of in Silico Technologies for Drug Target Discovery and Pharmacokinetic Analysis. Chem Pharm Bull (Tokyo). 2023;71:398–405.
3. Nag S, Baidya A, Mandal A, Mathew AT, Das B, Devi B, Kumar R. Deep learning tools for advancing drug discovery and development. 3 Biotech. 2022;12:110.
4. Naga D, Parrott N, Ecker GF, Olivares-Morales A. Evaluation of the success of high-throughput physiologically based pharmacokinetic (HT-PBPK) modeling predictions to inform early drug discovery. Mol Pharm. 2022;19:2203–16.
5. Jayaraj PB, Jain S. Ligand based virtual screening using SVM on GPU. Comput Biol Chem. 2019;83:107143.
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