Characterizing RNA-binding ligands on structures, chemical information, binding affinity and drug-likeness-Reference-Cited by-同舟云学术

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Characterizing RNA-binding ligands on structures, chemical information, binding affinity and drug-likeness

Published:2023-07-06 Issue:1 Volume:20 Page:431-443
ISSN:1547-6286
Container-title:RNA Biology
language:en
Short-container-title:RNA Biology

Author:

Fan Cong¹²,Wang Xin³,Ling Tianze³,Yang Yuedong⁴⁵,Zhao Huiying¹²

Affiliation:

1. Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China

2. Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, Guangdong, China

3. School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China

4. National Computer Center in Guang Zhou, Guangzhou, Guangdong, China

5. School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China

Funder

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

Cell Biology,Molecular Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15476286.2023.2231708

Reference51 articles.

1. Structure-based maximal affinity model predicts small-molecule druggability

2. An atlas of human long non-coding RNAs with accurate 5′ ends

3. The landscape of long noncoding RNAs in the human transcriptome

4. Principles for targeting RNA with drug-like small molecules

5. Modulating splicing with small molecular inhibitors of the spliceosome

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. Contrastive pre-training and 3D convolution neural network for RNA and small molecule binding affinity prediction;Bioinformatics;2024-03-20

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