Ai Feedback
Exact(9)
where Bmax is the maximal binding, and K d is the concentration of ligand required to reach half-maximal binding.
This is consistent with the results for each corresponding soluble scFv, where sulfation was mapped to tyrosine in VH CDR2 and VL FW3 regions of X20 and required for maximal binding and antigen recognition activity [17].
Bmax represents the maximal binding, and KD is the concentration of ligand required to reach one-half maximal binding.
The ratio B/Bo was corrected for non-specific binding, expressed as a percentage of maximal binding, and read against a standard curve (log-logit transformation).
Triplicate values were averaged and curve fitting (three-parameter sigmoidal) performed using the Sigmaplot software and the equation y= a/{1+exp−[(x− x0)/ b]} [ 13, 26]; where a represents maximal binding, and x represents the apparent dissociation constant.
Clearly this was not the case, with concentrations as high as 10 μM failing to significantly activate PPARγ, despite previous data showing near maximal binding and activation of PPAR α and δ with respect to their selective ligand activators [4].
Similar(51)
Y = Bmax × Xh / (kh + Xh), where k and h represent the concentration of PS resulting in half-maximal binding and the Hill coefficient, respectively.
A one-site binding equation was used to determine the values for maximal binding (Bmax) and the equilibrium dissociation constants (Kd) with n denoting the number of independent experiments (SN: Kd = 1.09 nM±0.05, n = 6; NiE: Kd = 0.41 nM±0.03, n = 6; NTE: Kd = 0.46 nM±0.05, n = 4).
Maximal binding responses and sufficient regeneration of the sensor surface with maintained hMT1A activity were achieved using 70 μl/min flow rate at 37 °C with 100 mM NaOH as the regeneration solution.
To determine the maximal binding (Bmax) and the dissociation constant of the hot ligand (H-NMS, Amersham, Life Science, 81 Ci mmol−1, 1 mCi ml−1), a saturation curve was made.
The 20 μg ml−1 and 3 μg ml−1 target concentrations have been used as the cut-off for maximal binding for CD80 and CD86, respectively.
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