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These observations highlight the importance of kinetic binding analysis for studying disease-associated HIF-2α mutations, which has not been previously reported.
Furthermore, using five additional C-termini datasets, we performed a cross-PDZome binding analysis for the three vertebrate species in this study (Homo sapiens, Mus musculus and Gallus gallus), and normalized these findings to the human PDZome.
To our knowledge, this is the first report of genome-wide binding analysis for a transcription factor in M. xanthus.
This first report of genome-wide binding analysis for a transcription factor in M. xanthus yielded a plethora of predictions about the role of MrpC in regulating developmental genes, which will need to be tested.
The test data set is based largely on results of Yanai et al.[ 14], who completed gene perturbation experiments followed by transcript abundance analysis for all genes in the network, and yeast one hybrid (DNA binding) analysis for all transcription factors and the upstream sequences for each gene in the network.
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Kinetic-binding analysis for interaction of PfClpQ was carried out by injecting the FI-peptide at different concentrations (5, 10, 20, 40 μM) in independent experiments.
To further analyze the variation of the docked protein structure, we utilized MD simulation to generate a dynamic structure for binding analysis of the top three TCM compounds.
These particles were used for further binding analysis of hPRR to human prorenin.
It has been widely used for the binding analysis of various interactions including those between antibody-hapten [ 39], lectin-glycoprotein [ 40] and between proteins and nucleic acids [ 41].
The middle structure was chosen from each late group as a standard snapshot for the binding analysis of the top three TCM compounds: Solapalmitine (4040 ps), Isodesacetyluvaricin (4240 ps), and Budmunchiamine L5 (4340 ps) (Table 2).
A modified form of MASP-1, called MASP-1ent, was used for binding analysis [ 34].
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