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Automating pKa Curve Fitting Using Origin

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Information about Automating pKa Curve Fitting Using Origin

Published on July 13, 2009

Author: bissettbd

Source: slideshare.net

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Automating pKa Curve Fitting Using Origin
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Company Products Support Services News & Events Downloads Search Automating pKa Curve Fitting Using Origin Summary Brian Bissett, a scientist at Pfizer Global Research & Development, has performed research related to the development of new medicinal drugs. His research involved the analysis of chemical compounds in order to determine their pKa values. These pKa values were then, in turn, used to predict whether or not a specific compound has or does not have drug-like properties. The Problem Calculating the pKa values was an arduous task. Absorbance vs. pH data was captured on a scanning plate reader spectrophotometer. A typical assay utilized a standard 96 well microplate column-wise, resulting in an analysis of 12 compounds per plate, each with 8 data points. Each row of the microplate had a different value pH buffer in it (typically from pH 3.0 - pH 10.0). A set amount of compound in Dimethyl Sulfoxide (DMSO), a common pharmaceutical industry solvent, was then dispensed down an entire column providing absorbance values across the entire pH range for each compound. A pKa could be determined provided the compound for analysis had a perturbable pH induced chromophore*. The real bottleneck was the fact that it took so much time to individually curve fit each dataset to obtain a resultant pKa. First the scientist had to choose "the best" wavelength from which to try and curve fit a pKa. (The particular spectrophotometer being used scanned from 250nm to 750nm in 5nm increments.) Once the optimal wavelength was determined, the scientist would specify initial conditions (usually "reasonable" guesses for a parameter's starting value which would be optimized during the fitting process) for a curve fit. When a fit was then obtained from a set of data, a decision had to be made as to whether the fitted curve was returning a valid result. How Origin Was Used To circumvent these difficulties and free up time, algorithms were written in LabTalk™, Origin's scripting language, to accomplish the following tasks: 1. determine the best wavelength from which to extract data for a pKa curve fit

2. set up the curve fitter with reasonable initial conditions and trigger a curve fit of the data at the chosen wavelength 3. determine if the pKa returned from the fitting session was indeed reasonable The scripts were then hooked up to a graphical user interface, or GUI. Figures 1 and 2 depict the tool for an early (circa 1995) pKa assay developed by Mr. Bissett and a colleague, Dr. Chris Lipinski, in what was then the Physical Measurements Laboratory at Pfizer.

Figure 1: A solved single (or monotonic) pKa system utilizing Origin. The figure above shows the two tabs of the tool designed in Origin for analyzing the pKa data. In this example, a monotonic (or single) pKa system is solved. Pressing the "Do It" button in the lower right corner of the Run & Settings tab caused the software to automatically fit the data for all 12 samples using a rules based system. It was also possible for the operator to hand fit the data to any wavelength using either the bis or mono pKa equation by using the Fitting tab. The

fitted pKa's are shown as well as the r^2 (or cod) value (which represents the "goodness" of the fit). This option was typically only utilized if the automatic curve fitting algorithms were incapable of settling on a solution. The plot shows the raw data points in black with the fitted curve in red. Below (Fig 2) is the identical screen but run on a dual (or bis) pKa system.

Figure 2: A solved bis (or two) pKa system using Origin. Note: The Run & Settings tab is the same, so it is only shown in Figure 1. Notice that on the Fitting tab there are five buttons on the right side. The top-most button, titled "Movie", allows the user to view time lapsed screen shots of the absorbance vs. pH Buffer Solution values as they change across the captured wavelength spectrum in the plot window. This is an excellent tool for allowing a scientist to discover which wavelength or series of wavelengths would best lend itself to analysis. Once the proper wavelength has been chosen, the data series can then be plotted by pushing the "Plot" button. The wavelength specified in the spin box control will determine which data series or wavelength (250nm - 750nm) will be plotted, and the sample specified in the sample spin box will determine which sample (1-12) will be viewed or plotted. Once a sample has been plotted it can be fit to either the mono or bis pKa equations by pushing either button. If the user is satisfied with the resultant pKa returned, the results can be saved, along with the compound's structure, to a database file by pressing the "Save & Exit" button. Biography Brian Bissett is a scientist in the Molecular Properties Group at Pfizer Global Research & Development in Groton, CT. He has written a book "Practical Pharmaceutical Laboratory Automation", which has an entire section dedicated to automating data analysis tasks utilizing Origin. He also maintains a companion web site for the text at this location: http://www.pharmalabauto.com/. English Search | Site Map | Site Requirements | Credits | Privacy Policy | Terms of Use | My Profile | Login SmartLinks Framework PRO for ASP.NET (Trial Edition) by DevMansion.Com

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