<p>(<b>A</b>) Two types of IC<sub>50</sub> which can be estimated by the software. Absolute IC<sub>50</sub> is defined as the concentration of tested compound which results in 50% inhibition of cell growth as defined by assay controls (pink lines). Relative IC<sub>50</sub> is defined as the concentration of tested compound which results in half of the maximum inhibition of cell growth attainable for that particular compound (orange lines). I<sub>max</sub> is defined as upper plateau of the dose-response curve (solid orange line). (<b>B</b>) Example of a dose-response curve drawn on the basis of 4 values (black circles). The simple two-point method uses 2 data points bracketing 50% inhibition of proliferation (green lines) to estimate the IC...
The chemometric methods of data analysis allow to resolve complex multi-component systems by decompo...
BACKGROUND: In vitro generated dose-response curves of human cancer cell lines are widely used to de...
Objectives: To develop and analyze a Tumor Growth Inhibition (TGI) model for combination therapy bas...
In the process of new cancer drug development, as the first step of their assessment, their activiti...
<p>It is showing the dose-response curves, individual values of percentages of inhibition for each d...
Dose-response assays are a common and increasingly high throughput method of assessing the toxicity ...
Tumor growth inhibition data in in vivo anticancer experiments are commonly analyzed using the treat...
The half maximal inhibitory concentration (IC50) has several limitations that make it unsuitable for...
<p>It is showing the dose range applied, mean and standard deviations of absorbance values for every...
<p>A: Detection limit of the historic axenic assay. Black line shows the linear regression (R<sup>2<...
Chemometrics is a discipline dedicated to solving problems arising from complicated analytical syste...
<p>The initial cell concentration is 1×10<sup>5</sup> cells. The greater the CB1a concentration, the...
<p>(A) A schematic illustration of a microliter-scale high-throughput screening system for three sam...
Cancer chemotherapy agents are assessed for their therapeutic utility primarily by their ability to ...
<p><b>A</b>: First, concentrated mixtures are made of the single agents. Subsequently, dose response...
The chemometric methods of data analysis allow to resolve complex multi-component systems by decompo...
BACKGROUND: In vitro generated dose-response curves of human cancer cell lines are widely used to de...
Objectives: To develop and analyze a Tumor Growth Inhibition (TGI) model for combination therapy bas...
In the process of new cancer drug development, as the first step of their assessment, their activiti...
<p>It is showing the dose-response curves, individual values of percentages of inhibition for each d...
Dose-response assays are a common and increasingly high throughput method of assessing the toxicity ...
Tumor growth inhibition data in in vivo anticancer experiments are commonly analyzed using the treat...
The half maximal inhibitory concentration (IC50) has several limitations that make it unsuitable for...
<p>It is showing the dose range applied, mean and standard deviations of absorbance values for every...
<p>A: Detection limit of the historic axenic assay. Black line shows the linear regression (R<sup>2<...
Chemometrics is a discipline dedicated to solving problems arising from complicated analytical syste...
<p>The initial cell concentration is 1×10<sup>5</sup> cells. The greater the CB1a concentration, the...
<p>(A) A schematic illustration of a microliter-scale high-throughput screening system for three sam...
Cancer chemotherapy agents are assessed for their therapeutic utility primarily by their ability to ...
<p><b>A</b>: First, concentrated mixtures are made of the single agents. Subsequently, dose response...
The chemometric methods of data analysis allow to resolve complex multi-component systems by decompo...
BACKGROUND: In vitro generated dose-response curves of human cancer cell lines are widely used to de...
Objectives: To develop and analyze a Tumor Growth Inhibition (TGI) model for combination therapy bas...