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For: Diéguez-Santana K, González-Díaz H. Towards machine learning discovery of dual antibacterial drug-nanoparticle systems. Nanoscale 2021;13:17854-70. [PMID: 34671801 DOI: 10.1039/d1nr04178a] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Palai D, Tahara H, Chikami S, Latag GV, Maeda S, Komura C, Kurioka H, Hayashi T. Prediction of Serum Adsorption onto Polymer Brush Films by Machine Learning. ACS Biomater Sci Eng 2022. [PMID: 35905395 DOI: 10.1021/acsbiomaterials.2c00441] [Reference Citation Analysis]
2 Diéguez-Santana K, Casañola-Martin GM, Torres R, Rasulev B, Green JR, González-Díaz H. Machine Learning Study of Metabolic Networks vs ChEMBL Data of Antibacterial Compounds. Mol Pharm 2022. [PMID: 35671399 DOI: 10.1021/acs.molpharmaceut.2c00029] [Reference Citation Analysis]
3 Diéguez-santana K, Rasulev B, González-díaz H. Towards rational nanomaterial design by predicting drug–nanoparticle system interaction vs. bacterial metabolic networks. Environ Sci : Nano 2022;9:1391-413. [DOI: 10.1039/d1en00967b] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]