Identification of Novel Antibacterials Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Identification of Novel Antibacterials Using Machine Learning Techniques

Published:2019-08-27 Issue: Volume:10 Page:
ISSN:1663-9812
Container-title:Frontiers in Pharmacology
language:
Short-container-title:Front. Pharmacol.

Author:

Ivanenkov Yan A.,Zhavoronkov Alex,Yamidanov Renat S.,Osterman Ilya A.,Sergiev Petr V.,Aladinskiy Vladimir A.,Aladinskaya Anastasia V.,Terentiev Victor A.,Veselov Mark S.,Ayginin Andrey A.,Kartsev Victor G.,Skvortsov Dmitry A.,Chemeris Alexey V.,Baimiev Alexey Kh.,Sofronova Alina A.,Malyshev Alexander S.,Filkov Gleb I.,Bezrukov Dmitry S.,Zagribelnyy Bogdan A.,Putin Evgeny O.,Puchinina Maria M.,Dontsova Olga A.

Funder

Ministry of Education and Science of the Russian Federation

Russian Science Foundation

Publisher

Frontiers Media SA

Subject

Pharmacology (medical),Pharmacology

Reference62 articles.

1. Recent progress in natural-product-inspired programs aimed to address antibiotic resistance and tolerance;Abouelhassan,2019

2. Modeling discrimination between antibacterial and non-antibacterial activity based on 3D molecular descriptors;Aptula;QSAR Comb. Sci.,2003

3. QSAR-based molecular signatures of prenylated (iso) flavonoids underlying antimicrobial potency against and membrane-disruption in Gram positive and Gram negative bacteria;Araya-Cloutier;Sci. Rep.,2018

4. In silico estimation of DMSO solubility of organic compounds for bioscreening;Balakin;J. Biomol. Screen.,2004

5. In vitro activity of ciprofloxacin, norfloxacin and nalidixic acid;Bauernfeind;Eur. J. Clin. Microbiol.,1983

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AC-ModNet: Molecular Reverse Design Network Based on Attribute Classification;International Journal of Molecular Sciences;2024-06-25

2. A machine learning framework for the prediction of antibacterial capacity of silver nanoparticles;Nano Express;2024-06-01

3. Implications of Artificial Intelligence in Addressing Antimicrobial Resistance: Innovations, Global Challenges, and Healthcare’s Future;Antibiotics;2024-05-29

4. ABDpred: Prediction of active antimicrobial compounds using supervised machine learning techniques;Indian Journal of Medical Research;2024

5. Identification of a Specific Biomarker of Acinetobacter baumannii Global Clone 1 by Machine Learning and PCR Related to Metabolic Fitness of ESKAPE Pathogens;mSystems;2023-06-29