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The favoured model for the enzyme–substrate interaction is the induced fit model. [53] This model proposes that the initial interaction between enzyme and substrate is relatively weak, but that these weak interactions rapidly induce conformational changes in the enzyme that strengthen binding.
Extensions of the model have been proposed for lattices of proteins by various authors. [5] [6] [7] Edelstein argued that the MWC model gave a better account of the data for hemoglobin than the sequential model [3] could do. [8] He and Changeux [9] applied the model to signal transduction. Changeux [10] has discussed the status of the model ...
When used to model enzyme rates in vivo , for example, to model a metabolic pathway, this representation is inadequate because under these conditions product is present. As a result, when building computer models of metabolism [ 1 ] or other enzymatic processes, it is better to use the reversible form of the Michaelis–Menten equation.
The model is used in a variety of biochemical situations other than enzyme-substrate interaction, including antigen–antibody binding, DNA–DNA hybridization, and protein–protein interaction. [ 17 ] [ 18 ] It can be used to characterize a generic biochemical reaction, in the same way that the Langmuir equation can be used to model generic ...
A metabolic reconstruction provides a highly mathematical, structured platform on which to understand the systems biology of metabolic pathways within an organism. [2] The integration of biochemical metabolic pathways with rapidly available, annotated genome sequences has developed what are called genome-scale metabolic models.
The induced fit model is a development of the lock-and-key model and assumes that an active site is flexible and changes shape until the substrate is completely bound. This model is similar to a person wearing a glove: the glove changes shape to fit the hand. The enzyme initially has a conformation that attracts its substrate.
The classic model for the enzyme-substrate interaction is the induced fit model. [3] This model proposes that the initial interaction between enzyme and substrate is relatively weak, but that these weak interactions rapidly induce conformational changes in the enzyme that strengthen binding.
The enzyme then catalyzes the chemical step in the reaction and releases the product. This work was further developed by G. E. Briggs and J. B. S. Haldane, who derived kinetic equations that are still widely used today. [68] Enzyme rates depend on solution conditions and substrate concentration. To find the maximum speed of an enzymatic ...