Prediction of order parameters based on protein NMR structure ensemble and machine learning-Reference-Cited by-同舟云学术

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Prediction of order parameters based on protein NMR structure ensemble and machine learning

Published:2024-03-26 Issue:2 Volume:78 Page:87-94
ISSN:0925-2738
Container-title:Journal of Biomolecular NMR
language:en
Short-container-title:J Biomol NMR

Author:

Wang Qianqian,Miao Zhiwei,Xiao Xiongjie,Zhang Xu,Yang Daiwen,Jiang Bin,Liu Maili

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

The Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10858-024-00435-w.pdf

Reference36 articles.

1. Alzubaidi L et al (2021) Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. Journal of Big Data 8:53

2. Andersen CAF, Palmer AG, Brunak S, Rost B (2002) Continuum secondary structure captures protein flexibility. Structure (London) 10:175–184

3. Berjanskii M, Wishart DS (2006) NMR: prediction of protein flexibility. Nat Protoc 1:683–688

4. Biau G, Scornet E (2016) A random forest guided tour. TEST 25:197–227

5. Biological Magnetic Resonance Data Bank. https://bmrb.io/

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