Toward drug-miRNA resistance association prediction by positional encoding graph neural network and multi-channel neural network-Reference-Cited by-同舟云学术

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Toward drug-miRNA resistance association prediction by positional encoding graph neural network and multi-channel neural network

Published:2022-11 Issue: Volume:207 Page:81-89
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Zhao Chengshuai,Wang Haorui,Qi Weiwei,Liu Shichao

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference61 articles.

1. Advancing drug discovery via artificial intelligence;Chan;Trends in pharmacological sciences,2019

2. Finishing the euchromatic sequence of the human genome;Collins;Nature,2004

3. The druggable genome;Hopkins;Nature reviews Drug discovery,2002

4. Killing the messenger: short rnas that silence gene expression;Dykxhoorn;Nature reviews Molecular cell biology,2003

5. The mechanics of mirna-mediated gene silencing: a look under the hood of mirisc;Fabian;Nature structural & molecular biology,2012

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1. Graph neural networks-based prediction of drug gene association of P2X receptors in periodontal pain;Journal of Oral Biology and Craniofacial Research;2024-05

2. A comprehensive checklist of computational resources and methodologies for noncoding RNAs in systems medicine;WIREs RNA;2024-01

3. Machine learning in the development of targeting microRNAs in human disease;Frontiers in Genetics;2023-01-04

4. Deep Learning in Bioinformatics and Biomedicine;Methods;2023-01

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