Determining the Effectiveness of a Potential Drug Molecule
For many decades, pharmaceutical companies have relied on curve fitting for the determination of potential drug efficacies. By offering three-dimensional curve-fitting techniques, XLfit can save time, reduce errors and simplify results interpretation when determining drug affinity using Schild analysis.
Using a three-dimensional PA2 model in XLfit can greatly increase the time saved when undertaking Schild analysis. In Schild analysis, a user is normally required to generate a number of two-dimensional plots supported with a number of sub-calculations. Once this has then been performed, a linear plot is produced and a Kd value is determined from this linear plot. However, using a three-dimensional PA2 model, users only need return a model parameter that represents the Kd value, thus only requiring two steps.
Our article, Determining Drug Affinity With Schild Analysis, offers a detailed
comparison of the traditional
two-dimensional curve-fitting approach to Schild
analysis with the newer three-dimensional
methodology, illustrating how the
latter technique can accelerate the data analysis process
and achieve more
accurate
results in fewer steps.
