ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph-Reference-Cited by-同舟云学术

ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph

Published:2023-11-03 Issue: Volume: Page:
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Wang Tao¹,Wang Wentao¹,Jiang Xin¹,Mao Jiaxing²,Zhuo Linlin¹^ORCID,Liu Mingzhe¹,Fu Xiangzheng³,Yao Xiaojun³^ORCID

Affiliation:

1. Wenzhou University of Technology, 325000, Wenzhou, China

2. Central South University of Forestry and Technology, 410000, Changsha, China

3. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, 999078, Macao, China

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01238

Reference40 articles.

1. Emerging epigenetic mechanisms of long non-coding RNAs

2. Screening for lncRNA function

3. Function of lncRNAs and approaches to lncRNA-protein interactions

4. LNCcation: lncRNA localization and function

5. Rôle des longs ARN non codants dans le développement normal et pathologique

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