Abstract
A method for the mathematical processing of experimental titration curves of a homogeneous one-dimensional polynucleotide is described. The method under consideration is based on the modified McGhee–von Hippel conditional probability method. The simulated nonlinear dependences of the “effective intrinsic constant” on the degree of saturation of the polymer with the ligand are analyzed. The data reported in the literature on the acid–base titration of polycytidylic acid are considered as an experimental example. It is demonstrated that in the analysis of the total of the experimental data, the proposed method provides more accurate treatment of nonlinear deviations from the Scatchard dependences.
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