Your English writing platform
Discover LudwigSuggestions(5)
Exact(1)
To confirm the binding models obtained from our molecular docking studies showing that hydrogen bonds are formed between a bioflavonoid molecule and the amino acid residues Q189 and H193 of COX II (Figure 4E), we used the site-directed mutagenesis approach to verify the functional role of these two amino acid residues.
Similar(58)
Structural information was taken from Protein Data Bank (PDB) (31) for Mtb and high-confidence structural models obtained from ModBase (32) for proteins with no known structure were used to assess the binding pockets.
Using a database of transcription factors and their binding sites TRANSFAC (7.0 public, Vertebrates), TFBS in the promoters were predicted against a background model obtained from Eukaryotic Promoter Database.
Global fits to a single-site binding model of data obtained from at least two titrations for each site were conducted using SEDPHAT (62).
Global fits to a two-site binding model of data obtained from direct and reverse titrations of each ternary complex were conducted using SEDPHAT (62).
The values of Kd for D2-receptor binding were obtained from the literature, where Emax models were used to fit D2RO and plasma drug concentration data obtained from position emission tomography studies.
Single- and dual-fractal models were employed to fit the ER binding data obtained from literature.
The binding mode obtained from the docking simulation was further used for structure optimization of vibralactone.
Non-specific binding was obtained from two competitive homologous binding assays with non-radioactive Ga68-PSMA-11.
The kinetic binding results obtained from the data shown in Figure 8. Kinetic parameters were determined by fitting the curves using a Langmuir model.
To identify those promoters with binding sites corresponding to binding motifs obtained from the Biobase Transfac database release 2009.3 (BIOBASE GmbH, Wolfenbuettel, Germany), we used the MotifLocator algorithm [50] with a first order background model [51].
More suggestions(1)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com