Novel Potential Small Molecule–MiRNA–Cancer Associations Prediction Model Based on Fingerprint, Sequence, and Clinical Symptoms-Reference-Cited by-同舟云学术

Novel Potential Small Molecule–MiRNA–Cancer Associations Prediction Model Based on Fingerprint, Sequence, and Clinical Symptoms

Published:2021-04-26 Issue:5 Volume:61 Page:2208-2219
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Li Jinlong¹,Peng Dongdong¹,Xie Yun¹,Dai Zong²^ORCID,Zou Xiaoyong³^ORCID,Li Zhanchao¹⁴

Affiliation:

1. School of Chemistry and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, People’s Republic of China

2. School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou 510275, People’s Republic of China

3. School of Chemistry, Sun Yat-Sen University, Guangzhou 510275, People’s Republic of China

4. Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of State Administration of Traditional Chinese Medicine, Guangzhou 510006, People’s Republic of China

Funder

National Natural Science Foundation of China

Guangzhou City

Guangdong Province

Special Funds of Key Disciplines Construction from Guangdong and Zhongshan Cooperating

Special Innovation Project of University in Guangdong Province

Special Project in Key Areas of University in Guangdong Province

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.0c01458

Reference53 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

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4. The Tuberculosis Drug Streptomycin as a Potential Cancer Therapeutic: Inhibition of miR-21 Function by Directly Targeting Its Precursor

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