Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xiaozhi Fu"'
Autor:
Xiang Jiao, Xiaozhi Fu, Qishuang Li, Junling Bu, Xiuyu Liu, Otto Savolainen, Luqi Huang, Juan Guo, Jens Nielsen, Yun Chen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Protoberberine alkaloids and benzophenanthridine alkaloids (BZDAs) are subgroups of benzylisoquinoline alkaloids (BIAs), which represent a diverse class of plant-specialized natural metabolites with many pharmacological properties. Microbial
Externí odkaz:
https://doaj.org/article/1891c333f84c4a8d84d7f4ce760f438e
Autor:
Jan Zrimec, Xiaozhi Fu, Azam Sheikh Muhammad, Christos Skrekas, Vykintas Jauniskis, Nora K. Speicher, Christoph S. Börlin, Vilhelm Verendel, Morteza Haghir Chehreghani, Devdatt Dubhashi, Verena Siewers, Florian David, Jens Nielsen, Aleksej Zelezniak
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Design of de novo synthetic regulatory DNA is a promising avenue to control gene expression in biotechnology and medicine. Here the authors present EspressionGAN, a generative adversarial network that uses genomic and transcriptomic data to generate
Externí odkaz:
https://doaj.org/article/bb9aa1851b914f7090a2adb235e06f6d
Publikováno v:
Frontiers in Chemistry, Vol 9 (2021)
Droplet-based microfluidics has been widely applied in enzyme directed evolution (DE), in either cell or cell-free system, due to its low cost and high throughput. As the isolation principles are based on the labeled or label-free characteristics in
Externí odkaz:
https://doaj.org/article/145f7c45be504022bbb73978054c45f1
Autor:
Huan Li, Lan Nie, Xiaoli Zhang, Wanxin Liu, Qiang Wang, Hui Long, Hongwei Ren, Xiaochen Xiang, Qingming Wu, Xiaozhi Fu
Publikováno v:
BioMed Research International
BioMed research international, 2020:6159720
BioMed Research International, Vol 2020 (2020)
BioMed research international, 2020:6159720
BioMed Research International, Vol 2020 (2020)
Objective. To investigate the value of coagulation indicators D-dimer (DD), prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), and fibrinogen (Fg) in predicting the severity and prognosis of COVID-19. Methods. A