Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design.
第一作者:
Keiichi,Inoue
第一单位:
The Institute for Solid State Physics, The University of Tokyo, Kashiwa, Japan. inoue@issp.u-tokyo.ac.jp.;RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. inoue@issp.u-tokyo.ac.jp.;Department of Life Science and Applied Chemistry, Nagoya Institute of Technology, Nagoya, Japan. inoue@issp.u-tokyo.ac.jp.;OptoBioTechnology Research Center, Nagoya Institute of Technology, Nagoya, Japan. inoue@issp.u-tokyo.ac.jp.;PRESTO, Japan Science and Technology Agency, Kawaguchi, Japan. inoue@issp.u-tokyo.ac.jp.
作者:
医学主题词
氨基酸序列(Amino Acid Sequence);贝叶斯定理(Bayes Theorem);色(Color);数据库, 蛋白质(Databases, Protein);大肠杆菌(Escherichia coli);氢离子浓度(Hydrogen-Ion Concentration);离子通道(Ion Channels);光(Light);视紫质, 微生物(Rhodopsins, Microbial);序列分析, 蛋白质(Sequence Analysis, Protein)
DOI
10.1038/s42003-021-01878-9
PMID
33742139
发布时间
2022-10-26
- 浏览0
Communications biology
2021年4卷1期
362页
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