Towards rational nanomaterial design by predicting drug–nanoparticle system interaction vs. bacterial metabolic networks

The emergence of multidrug-resistant (MDR) strains with perturbed metabolic networks (MNs) pushes researchers to improve antibacterial drugs (ADs). Certain nanoparticles (NPs) may present antibacterial activity along with acting as delivery systems. Thus, developing dual antibacterial drug–nanoparti...

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Veröffentlicht in:	Environmental science. Nano 2022-04, Vol.9 (4), p.1391-1413
Hauptverfasser:	Diéguez-Santana, Karel, Rasulev, Bakhtiyor, González-Díaz, Humberto
Format:	Artikel
Sprache:	eng
Schlagworte:	Additives Algorithms Antibacterial activity Antibiotics Artificial intelligence Artificial neural networks Assaying Bacteria Codification Computer applications Cyclin-dependent kinase Data integration Datasets Discriminant analysis Drug development Drugs Learning algorithms Learning theory Machine learning Manganese Mathematical models Metabolic networks Metabolism Microbiological strains Multidrug resistance Nanomaterials Nanoparticles Neural networks Pathogens Perturbation theory Prediction models Species Strains (organisms) Vectors
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