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蛋白质网络的系统生物学

Systems biology of protein network.

作者信息

Okada Mariko

机构信息

Laboratory for Cell Systems, Institute for Protein Research, Osaka University, Yamadaoka, Suita, Osaka Japan.

出版信息

Biophys Rev. 2022 Dec 13;14(6):1231-1232. doi: 10.1007/s12551-022-01023-8. eCollection 2022 Dec.

Abstract

The development of comprehensive measurement technology for biomolecules and the development of computer hardware and algorithms, enhanced by human genome research, have greatly contributed to the advancement of predictive biology. However, to make that happen, it was essential to have a common concept of sharing data in a standard format. In this article, I would like to briefly review how such concepts were developed in Japan for the foundation of today's biological sciences.

摘要

在人类基因组研究的推动下,生物分子综合测量技术以及计算机硬件和算法得到了发展,这极大地促进了预测生物学的进步。然而,要实现这一点,以标准格式共享数据的共同概念至关重要。在本文中,我想简要回顾一下在日本这些概念是如何发展起来的,为当今的生物科学奠定基础。

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本文引用的文献

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Control of cell state transitions.细胞状态转变的控制。
Nature. 2022 Sep;609(7929):975-985. doi: 10.1038/s41586-022-05194-y. Epub 2022 Sep 14.
2
Dynamical landscapes of cell fate decisions.细胞命运决定的动态图景。
Interface Focus. 2022 Jun 10;12(4):20220002. doi: 10.1098/rsfs.2022.0002. eCollection 2022 Aug 6.
4
Highly accurate protein structure prediction with AlphaFold.利用 AlphaFold 进行高精度蛋白质结构预测。
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