Matching models to data: a receptor pharmacologist's guide

We have sought to address some commonplace issues of receptor pharmacology with some real-life examples: How should dilutions be distributed along a concentration-response curve? How do problems with dilutions manifest in assay results? What assumptions are made when certain analysis models are applied? What is global data fitting and how does it work? How can it be applied to improve data analysis? How can models such as one-site and two-site fits be compared? What is the principal behind statistical comparison of data fits? It is our hope that after reading this review you will have a greater appreciation of assay planning and subsequent data analysis and interpretation which will improve the quality of the data that you generate. LINKED ARTICLES This article is part of a themed section on Analytical Receptor Pharmacology in Drug Discovery. To view the other articles in this section visit http://dx.doi.org/10.1111/bph.2010.161.issue-6.