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

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2022 English Publisher:Royal Society of Chemistry (RSC)Journal:Environmental Science: Nano, volume 9, pages 1,391-1,413 (issn: 2051-8153, eissn: 2051-8161,

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Authors: Karel Diéguez-Santana; Bakhtiyor Rasulev; Humberto González-Díaz;

doi: 10.1039/d1en00967b

handle: 10261/296601

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

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Abstract

Information fusion (IF), perturbation theory (PT), and machine learning (ML) algorithm (IFPTML) allows for nanomaterial design by predicting the interactions of drug–nanoparticle systems vs. metabolic networks of bacteria.

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