title: Algebraic least squares estimates of inhibitor constants.
abstract: When the data has a constant coefficient of variation, appropriately weighted least squares estimates of the parameters for competitive inhibition in both enzyme and binding experiments can be obtained algebraically. The algorithms are presented and justified.
authors.affiliation: National Centre for Epidemiology and Population Health, Australian National University, Canberra ACT.
authors.forename: M E
authors.initials: ME
authors.lastname: Jones
mesh_terms: D000465:Algorithms; D004791:Enzyme Inhibitors / Q000378:metabolism / Q000494:pharmacology*; D004798:Enzymes / Q000378:metabolism*; D008433:Mathematics; D008962:Models, Theoretical; D011865:Radioisotope Dilution Technique
chemical_list: D004791:Enzyme Inhibitors; D004798:Enzymes