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Computer modelling of the binding of non-selective ligands to biological receptors

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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.

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References

  • Cheng, Y., andW.H. Prusoff (1973)Biochem. Pharmacol. 22, 3099–3108.

    Google Scholar 

  • De Lean, A., A.A. Hancock andR.J. Lefkowitz (1982)Mol. Pharmacol. 21, 5–16.

    Google Scholar 

  • Draper, N.R., andH. Smith (1981)Applied Regression Analysis. 2nd. Ed. John Wiley & Sons, New York.

    Google Scholar 

  • Klotz, I.M. (1982)Science 217, 1247–1249.

    Google Scholar 

  • Munson, P.J., andD. Rodbard (1980)Anal. Biochem. 107, 220–239.

    Google Scholar 

  • Nelder, J.A, andR. Mead (1965)Computer J. 7, 308–313.

    Google Scholar 

  • Wynne, H.J. (1983)Multivariate Analyse van Selectieve Interacties. Dissertation, University of Amsterdam.

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In honour of Professor Faber on the occasion of his 25-years' professorate.

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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

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  • DOI: https://doi.org/10.1007/BF02074863

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