CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis

Di Guo, Sijin Li, Jun Liu, Zhangren Tu, Tianyu Qiu +7 more
9/12/2023
q-bio.QMcs.AIcs.LG

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Abstract

Nuclear Magnetic Resonance (NMR) spectroscopy has served as a powerful analytical tool for studying molecular structure and dynamics in chemistry and biology. However, the processing of raw data acquired from NMR spectrometers and subsequent quantitative analysis involves various specialized tools, which necessitates comprehensive knowledge in programming and NMR. Particularly, the emerging deep learning tools is hard to be widely used in NMR due to the sophisticated setup of computation. Thus, NMR processing is not an easy task for chemist and biologists. In this work, we present CloudBrain-NMR, an intelligent online cloud computing platform designed for NMR data reading, processing, reconstruction, and quantitative analysis. The platform is conveniently accessed through a web browser, eliminating the need for any program installation on the user side. CloudBrain-NMR uses parallel computing with graphics processing units and central processing units, resulting in significantly shortened computation time. Furthermore, it incorporates state-of-the-art deep learning-based algorithms offering comprehensive functionalities that allow users to complete the entire processing procedure without relying on additional software. This platform has empowered NMR applications with advanced artificial intelligence processing. CloudBrain-NMR is openly accessible for free usage at https://csrc.xmu.edu.cn/CloudBrain.html

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Cite this paper

@article{guo2023cloudbrainnmr,
  title  = {CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis},
  author = {Di Guo and Sijin Li and Jun Liu and Zhangren Tu and Tianyu Qiu and Jingjing Xu and Liubin Feng and Donghai Lin and Qing Hong and Meijin Lin and Yanqin Lin and Xiaobo Qu},
  year   = {2023},
  eprint = {2309.07178},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2309.07178v1}
}

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