title: Quantitative characterization of hormone receptors by a nonlinear regression approach.
abstract: This paper describes a mathematical model for the quantification of receptors based only upon the total bound values as a function of the total ligand concentration. In contrast to methods relying on linearization transformations, this nonlinear model requires more sophisticated computation, however, avoids loss of material for determination of nonspecific binding in competed tubes. Monte-Carlo simulation indicated high stability of this model against random experimental error. The androgen receptor of the male gerbil (Meriones unguiculatus) ventral prostate is characterized using the described nonlinear computation.
authors.affiliation: Department of Animal Physiology, University of Bayreuth, Fed. Rep. Germany.
authors.forename: B
authors.initials: B
authors.lastname: Probst
authors.forename: A
authors.initials: A
authors.lastname: Hermkes
mesh_terms: D000728:Androgens / Q000378:metabolism; D000818:Animals; D001665:Binding Sites; D005849:Gerbillinae; D007700:Kinetics; D008297:Male; D008954:Models, Biological; D009010:Monte Carlo Method; D011467:Prostate / Q000378:metabolism; D011956:Receptors, Cell Surface / Q000378:metabolism*; D012044:Regression Analysis
chemical_list: D000728:Androgens; D011956:Receptors, Cell Surface