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We first expressed and purified P. aeruginosa His-tagged CheR1 protein and, since CheR uses S-adenosylmethionine (SAM) as a substrate for receptor methylation, we immobilized purified CheR1-His6 on a sensor chip and analyzed the interaction of CheR1 and SAM by the use of surface plasmon resonance.
The candidate compounds are selected based on the docking and structure variations and analyzed the interaction through molecular simulation.
To test the involvement of STIL-CC in PLK4 binding, we further truncated the STIL-MD and analyzed the interaction with PLK4-ND.
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We focused on a simple behavior of an individual ant and analyzed the interactions between a pair of ants.
We calculated the electronic structure of full framework of metal organic frameworks (MOFs) using density functional theory calculations, and analyzed the interactions of hydrogen molecules with the aromatic organic linkers, and zinc oxo clusters.
Then, we inserted dexamethasone into the minimized structure and analyzed the interactions between DBT and dexamethasone with the GR.
We focused on the catalytic triad comprising of residues Cys25, Met161 and Asp162 and analyzed the interactions taking place between Cathepsin L and the thiosemicarbazone series.
We also compared and analyzed the interactions and functions of these proteins by PPI and functional clustering analyses based on their GO attributes that were determined by biological process clustering and signaling pathway analysis.
We study a model of evolving populations of self-learning agents and analyze the interaction between learning and evolution.
Summing up, the main contributions of the article are: We propose a new model to describe and analyze the interaction between WSPs with infrastructure deployed in the same geographical area and cover a shared pool of end users.
We propose a new model to describe and analyze the interaction between WSPs with infrastructure deployed in the same geographical area and cover a shared pool of end users.
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