Can Current Molecular Docking Methods Accurately Predict RNA Inhibitors?-Reference-Cited by-同舟云学术

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Can Current Molecular Docking Methods Accurately Predict RNA Inhibitors?

Published:2024-07-18 Issue:15 Volume:64 Page:5954-5963
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Gunasinghe Kavinda Kashi Juliyan¹^ORCID,Ginjom Irine Runnie Henry¹,San Hwang Siaw¹,Rahman Taufiq²^ORCID,Wezen Xavier Chee¹³^ORCID

Affiliation:

1. Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak, Kuching, Sarawak 93350, Malaysia

2. Department of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge CB2 1PD, United Kingdom

3. Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c00235

Reference40 articles.

1. microRNA-21 promotes breast cancer proliferation and metastasis by targeting LZTFL1

2. MicroRNA-10b expression in breast cancer and its clinical association

3. Breast cancer cell–derived microRNA-155 suppresses tumor progression via enhancing immune cell recruitment and antitumor function

4. miR-21 promotes non-small cell lung cancer cells growth by regulating fatty acid metabolism

Cited by 1 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. Predicting Small Molecule Binding Nucleotides in RNA Structures Using RNA Surface Topography;Journal of Chemical Information and Modeling;2024-09-04

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