Kinetics Inference (KInfer) is a free downloadable software prototype for non commercial purposes (see below) upon acceptance of this licence. KInfer is a tool for estimating rate constants of biochemical network models from concentration data measured, with error, at discrete time points. KInfer is inspired by the maximum likelihood estimation and assumes a discretized version of the law of mass action as rate equation. The discretization of the rate equation makes the evaluation of its expectation value analytically tractable. The probabilistic formulation of KInfer.s algorithm guarantees the noise-robustness and the possibility to extend it to a Bayesian treatment of the parameters. The current version of KInfer is beta 1.0. Principal features of the tools are:
automatic generation of generalized mass action model
automatic estimation of the initial guesses and bounds for the parameter values
estimation of the experimental errors on the inferred parameters
estimation of the strength of noise in the input data.
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Paola Lecca, Guido Sanguinetti, Alida Palmisano, Corrado Priami. A new method for inferring rate coefficients from experimental time-consecutive measurements of reactant concentrations. In Proceedings of International Conference on Systems Biology, 2007
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