"The advantage of global fitting of data involving complex linked reactions"@en . "RIV/00216208:11320/11:10105562!RIV12-MSM-11320___" . "[81D7E55DC2BD]" . "He\u0159man, Petr" . "457"^^ . "Allostery: Methods and Protocols" . "Humana Press" . . . . . "Lee, J., C." . . "We demonstrate the advantage of the simultaneous multicurve nonlinear least-squares analysis over that of the conventional single-curve analysis. Fitting results are subjected to thorough Monte Carlo analysis for rigorous assessment of confidence intervals and parameter correlations. The comparison is performed on a practical example of simulated steady-state reaction kinetics complemented with isothermal calorimetry (ITC) data resembling allosteric behavior of rabbit muscle pyruvate kinase (RMPK). Global analysis improves accuracy and confidence limits of model parameters. Cross-correlation between parameters is also reduced with accompanying enhancement of the model-testing power. This becomes especially important for validation of models with %22difficult%22 highly cross-correlated parameters. We show how proper experimental design and critical evaluation of data can improve the chance of differentiating models." . "Monte Carlo; linked reactions; data analysis; global fitting"@en . "796" . . . . "11320" . "10.1007/978-1-61779-334-9_22" . "http://www.springerprotocols.com/Abstract/doi/10.1007/978-1-61779-334-9_22" . . . "The advantage of global fitting of data involving complex linked reactions" . "978-1-61779-333-2" . "RIV/00216208:11320/11:10105562" . "New York" . "23"^^ . "184767" . "We demonstrate the advantage of the simultaneous multicurve nonlinear least-squares analysis over that of the conventional single-curve analysis. Fitting results are subjected to thorough Monte Carlo analysis for rigorous assessment of confidence intervals and parameter correlations. The comparison is performed on a practical example of simulated steady-state reaction kinetics complemented with isothermal calorimetry (ITC) data resembling allosteric behavior of rabbit muscle pyruvate kinase (RMPK). Global analysis improves accuracy and confidence limits of model parameters. Cross-correlation between parameters is also reduced with accompanying enhancement of the model-testing power. This becomes especially important for validation of models with %22difficult%22 highly cross-correlated parameters. We show how proper experimental design and critical evaluation of data can improve the chance of differentiating models."@en . . . "2"^^ . . "Z(MSM0021620835)" . "The advantage of global fitting of data involving complex linked reactions"@en . "1"^^ . . . "The advantage of global fitting of data involving complex linked reactions" . . .