Abstract
The application of common linearization methods (logprobit analysis or Hill plot transformation) to the evaluation of receptor binding experiments leads to serious errors, if the ligands used possess insufficient receptor selectivity. The use of simultaneous non-linear curvefitting procedures in this case is recommended and illustrated.
Similar content being viewed by others
References
Cheng, Y., andW.H. Prusoff (1973)Biochem. Pharmacol. 22, 3099–3108.
De Lean, A., A.A. Hancock andR.J. Lefkowitz (1982)Mol. Pharmacol. 21, 5–16.
Draper, N.R., andH. Smith (1981)Applied Regression Analysis. 2nd. Ed. John Wiley & Sons, New York.
Klotz, I.M. (1982)Science 217, 1247–1249.
Munson, P.J., andD. Rodbard (1980)Anal. Biochem. 107, 220–239.
Nelder, J.A, andR. Mead (1965)Computer J. 7, 308–313.
Wynne, H.J. (1983)Multivariate Analyse van Selectieve Interacties. Dissertation, University of Amsterdam.
Author information
Authors and Affiliations
Additional information
In honour of Professor Faber on the occasion of his 25-years' professorate.
Rights and permissions
About this article
Cite this article
Wynne, H.J., De Kaste, D. & Soudijn, W. Computer modelling of the binding of non-selective ligands to biological receptors. Pharmaceutisch Weekblad Scientific Edition 5, 325–328 (1983). https://doi.org/10.1007/BF02074863
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02074863