Recurrent neural network (RNN) model accelerates the development of antibacterial metronidazole derivatives-Reference-Cited by-同舟云学术

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Recurrent neural network (RNN) model accelerates the development of antibacterial metronidazole derivatives

Published:2022 Issue:35 Volume:12 Page:22893-22901
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Chen Nannan¹,Yang Lijuan²³,Ding Na¹,Li Guiwen¹,Cai Jiajing¹,An Xiaoli²,Wang Zhijie¹,Qin Jie¹,Niu Yuzhen¹^ORCID

Affiliation:

1. School of Life Sciences and Medicine, Shandong University of Technology, Zibo, 255049 Shandong, China

2. Institute of Modern Physics, Chinese Academy of Science, Lanzhou, 730000 Gansu, China

3. School of Physics and Technology, Lanzhou University, Lanzhou 730000, China

Abstract

Generating antibacterial metronidazole derivatives using a recurrent neural network model.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/RA/D2RA01807A

Reference38 articles.

1. Chitosan-based drug delivery systems: From synthesis strategy to osteomyelitis treatment – A review

2. Treatment strategies for nitroimidazole-refractory giardiasis: a systematic review

3. Long-term outcomes of antibiotic combination therapy for ulcerative colitis

4. Pimecrolimus 1% cream, methylprednisolone aceponate 0.1% cream and metronidazole 0.75% gel in the treatment of seborrhoeic dermatitis: A randomized clinical study

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4. Revolutionizing Medicinal Chemistry: The Application of Artificial Intelligence (AI) in Early Drug Discovery;Pharmaceuticals;2023-09-06

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