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pro vyhledávání: '"Berry, Richard M."'
The bacterial flagellar motor is an ion-powered transmembrane protein complex which drives swimming in many bacterial species. The motor consists of a cytoplasmic 'rotor' ring and a number of 'stator' units, which are bound to the cell wall of the ba
Externí odkaz:
http://arxiv.org/abs/1904.05846
Autor:
Li, Zhengqun, Braun, Frank, Quax, Tessa E. F., van der Does, Chris, Ishmukhametov, Robert, Albers, Sonja-Verena, Berry, Richard M.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2020 Oct . 117(43), 26766-26772.
Externí odkaz:
https://www.jstor.org/stable/26970624
Autor:
Mohammed, Nishil, Lian, Han, Islam, Muhammad Shahidul, Strong, MacKenzie, Shi, Zengqian, Berry, Richard M., Yu, Hou-Yong, Tam, Kam Chiu
Publikováno v:
In Chemical Engineering Journal 1 August 2021 417
Recent experiments on the bacterial flagellar motor have shown that the structure of this nanomachine, which drives locomotion in a wide range of bacterial species, is more dynamic than previously believed. Specifically, the number of active torque-g
Externí odkaz:
http://arxiv.org/abs/1505.05966
The bacterial flagellar motor (BFM) is responsible for driving bacterial locomotion and chemotaxis, fundamental processes in pathogenesis and biofilm formation. In the BFM, torque is generated at the interface between transmembrane proteins (stators)
Externí odkaz:
http://arxiv.org/abs/1501.02883
Publikováno v:
In Carbohydrate Polymers 15 October 2020 246
Autor:
Tang, Juntao, Javaid, Muhammad Umar, Pan, Chunyue, Yu, Guipeng, Berry, Richard M., Tam, Kam Chiu
Publikováno v:
In Carbohydrate Polymers 1 February 2020 229
Publikováno v:
In Current Opinion in Solid State & Materials Science April 2019 23(2):74-91
Autor:
Little, Max A., Steel, Bradley C., Bai, Fan, Sowa, Yoshiyuki, Bilyard, Thomas, Mueller, David M., Berry, Richard M., Jones, Nick S.
We report new statistical time-series analysis tools providing significant improvements in the rapid, precision extraction of discrete state dynamics from large databases of experimental observations of molecular machines. By building physical knowle
Externí odkaz:
http://arxiv.org/abs/1004.1234