Abstract
Microcomputers have become more easily available in recent years thanks to improvements in technology and lower prices. Many biological research laboratories now have a small computer available for data analysis, enabling their staff to avoid long, tedious and uncertain calculations with the sole help of a pocket calculator, and overcoming the long wait for quantitative results when calculations have to wait until all planned experiments have been completed. Connection to a large computing centre, once the only way to achieve computerized data analysis, is not always convenient; it takes too long to get acquainted with large-scale system working procedures,usually not user-friendly, and the rates are high.
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References
J.P. Bennett, Methods in binding studies, in: “Neurotransmitter Receptor Binding”, H.I. Yamamura, S.J. Enna and M.J. Kuhar, eds., Raven Press, New York (1978).
G.A. Weiland and P.B. Molinoff, Quantitative analysis of drug-receptor interactions. I. Determination of kinetic and equilibrium properties, Life Sci. 29: 313 (1981).
S.J. List and P. Seeman, Resolution of dopamine and serotonin receptor components of 3H-spiperone binding to rat brain regions, Proc. Natl. Acad. Sci. USA 78: 2620 (1981).
Y. Cheng and W.H. Prusoff, Relationship between the inhibition constant (Ki) and the concentration of inhibitor which causes 50 per cent inhibition (IC50) of an enzymatic reaction, Biochem. Pharmacol. 22: 3099 (1973).
J.A. Zivin and D.R. Waud D.R., How to analyze binding, enzyme and uptake data: the simplest case, a single phase, Life Sci. 30: 1407 (1982).
V. Guardabasso, Some mathematical and statistical issues in the quantitative analysis of data from binding site studies. EMBO Workshop “Membrane mechanisms in synaptic transmission”, Ponte di Legno ( Brescia, Italy ), July 1982.
T.W. Plumbridge, L.J. Aarons and J.R. Brown, Problems associated with analysis and interpretation of small molecule/macromolecule binding data, J. Pharm. Pharmacol. 30: 69 (1978).
P.J. Munson and D. Rodbard, LIGAND: a versatile computerized approach for characterization of ligand-binding systems, Anal. Biochem. 107: 220 (1980).
A.K. Thakur, M.L. Jaffe and D. Roodbard, Graphical analysis of Ligand-Binding Systems; evaluation by Montecarlo Studies, Anal. Biochem. 107: 279 (1980)
P.B. Molinoff, B.B. Wolfe and G.A. Weiland, Quantitative analysis of drug-receptor interactions. II. Determination of the properties of receptor subtypes, Life Sci. 29: 427 (1981).
J.G. Norby, P. Ottolenghi and J. Jensen, Scatchard Plot: common misinterpretation of binding experiments, Anal. Biochem. 102: 318 (1980).
R.J. Tallarida and R.B. Murray, “Manual of Pharmacological Calculations”, Springer-Verlag, New York (1981).
P.K. Minneman, L.R. Hegstrand and P.B. Molinoff, Simultaneous determination of B-1 and 8-2 adrenergic receptors in tissues containing both receptor subtypes, Mol. Pharmacol. 16: 34 (1979).
G. Sacchi-Landriani, V. Guardabasso and M. Rocchetti, NL-FIT: a microcomputer program for non-linear fitting, Computer Progr. in Biomed 16: 35 (1983).
H.A. Feldman, Mathematical theory of complex ligand-binding systems at equilibrium: some methods for parameter fitting, Anal. Biochem. 48: 317 (1972).
A. De Lean, P.J. Munson and D. Rodbard, Simultaneous analysis of families of sigmoidal curves: application to bioassay, radioligand assay, and physiological dose-response curves, Am. J. Physiol. 235: E97 (1978).
G.W. Snedecor and W.G. Cochran, “Statistical Methods”, The Iowa State University Press, Ames (USA ) (1967).
C.A. Bennet and N.L. Franklin, “Statistical Analysis in Chemistry and the Chemical Industry”, Wiley, New York (1954).
Y. Bard, “Nonlinear Parameter Estimation”, Academic Press, New York (1974).
C.M. Meltzer, G.L. Elfring and A.J. McEwan, “A Users Manual for NONLIN”, The Upjohn Company, Michigan (1974).
C.C. Peck and B.B. Barret, Nonlinear least-squares regression programs for minicomputers, J. Pharmacokinetics Biopharm. 7: 537 (1979).
W.R. Greco, R.L. Priore, M. Sharma and W. Korytnyk, ROSFIT: an enzyme kinetics nonlinear regression curve fitting package for a microcomputer, Computers and Biomed. Res. 15: 39 (1982).
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Benfenati, F., Guardabasso, V. (1984). Basic Concepts to Analyze Binding Data Using Personal Computers: The “RECEPT” program. In: Cattabeni, F., Nicosia, S. (eds) Principles and Methods in Receptor Binding. NATO ASI Series, vol 72. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-1577-4_4
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DOI: https://doi.org/10.1007/978-1-4757-1577-4_4
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