Towards rational nanomaterial design by predicting drug–nanoparticle system interaction <i>vs.</i> bacterial metabolic networks-Reference-Cited by-同舟云学术

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

Published:2022 Issue:4 Volume:9 Page:1391-1413
ISSN:2051-8153
Container-title:Environmental Science: Nano
language:en
Short-container-title:Environ. Sci.: Nano

Author:

Diéguez-Santana Karel¹,Rasulev Bakhtiyor²,González-Díaz Humberto¹³⁴^ORCID

Affiliation:

1. Department of Organic and Inorganic Chemistry, University of Basque Country UPV/EHU, 48940 Leioa, Spain

2. Department of Coatings and Polymeric Materials, North Dakota State University, Fargo, ND, 58102, USA

3. BIOFISIKA, Basque Center for Biophysics CSIC-UPVEH, 48940 Leioa, Spain

4. IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Biscay, Spain

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.

Funder

Eusko Jaurlaritza

Ministerio de Ciencia e Innovación

Publisher

Royal Society of Chemistry (RSC)

Subject

General Environmental Science,Materials Science (miscellaneous)

Link

http://pubs.rsc.org/en/content/articlepdf/2022/EN/D1EN00967B

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