Towards machine learning discovery of dual antibacterial drug–nanoparticle systems-Reference-Cited by-同舟云学术

Towards machine learning discovery of dual antibacterial drug–nanoparticle systems

Published:2021 Issue:42 Volume:13 Page:17854-17870
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Diéguez-Santana Karel¹,González-Díaz Humberto¹²³^ORCID

Affiliation:

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

2. Basque Center for Biophysics CSIC-UPVEH, University of Basque Country UPV/EHU, 48940 Leioa, Spain

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

Abstract

Artificial Intelligence/Machine Learning (AI/ML) algorithms may speed up the design of DADNP systems formed by Antibacterial Drugs (AD) and Nanoparticles (NP).

Funder

Ministerio de Ciencia e Innovación

Eusko Jaurlaritza

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2021/NR/D1NR04178A

Reference126 articles.

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2. The antibiotic paradox: why companies can’t afford to create life-saving drugs

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4. Repositioning of Guanabenz in Conjugation with Gold and Silver Nanoparticles against Pathogenic Amoebae Acanthamoeba castellanii and Naegleria fowleri

5. Nanoparticle Formulation of Moxifloxacin and Intramuscular Route of Delivery Improve Antibiotic Pharmacokinetics and Treatment of Pneumonic Tularemia in a Mouse Model

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