{ "item_title" : "Numerical Methods for the Life Scientist", "item_author" : [" Heino Prinz "], "item_description" : "Introduction Classical enzyme kinetics Classical dose-response curves and the Hill coefficient Classical association and dissociation kinetics and exponential fits Numerical methods Preparing the computer Installation of Octave for different platforms Installation of Linux Running the provided programs Data input and output Binding equilibria Analytical and numerical solution for equilibrium binding to one site Equilibrium binding to two or more sites. Equilibrium binding to two or more conformational states Equilibrium binding for oxygen to hemoglobin (MWC model) Equilibrium binding of more than one ligand (e.g. agonist and inhibitor) Enzyme kinetics as coupled equilibria Enzyme kinetics with competitive or noncompetitive inhibitors Dose-response curves for receptor agonists and enzyme inhibitors Binding kinetics Ligand binding kinetics of first and second order Numerical solutions of differential equations Calculation of true enzyme kinetics Dissociation by dilution and dissociation by competition (chase) States and sites Least squares fit to experimental data The function lsqcurvefit Comparing correct binding curves with Hill equations Comparing real binding kinetics with current multi-exponential fits Fitting experimental data Causes for errors Multi-parameter fits Correlation of parameters Selecting a model and minimizing the number of parameters Degrees of freedom Global Fits Significance of parameters in multi-parameter fits Comparing the two different approaches Model independent versus model calculations Global fit versus single fits Make ends meet: Try to analyze reported data with new methods Designing experiments for complete analysis Appendix Description of program files Sample data Comparing MATLAB and Octave code", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/64/220/819/3642208193_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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