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Bayesian Data Integration Questions Classic Study on Protease Self-Digest Kinetics

[Image: see text] We combine Bayesian data integration with kinetic modeling to rigorously identify reaction mechanisms. This approach forces models to be consistent not only with kinetic measurements but with all available information. We revisit a classic study on trypsin self-digest acceleration...

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Detalles Bibliográficos
Autores principales: Tötsch, Niklas, Hoffmann, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331054/
https://www.ncbi.nlm.nih.gov/pubmed/32637789
http://dx.doi.org/10.1021/acsomega.0c01109
Descripción
Sumario:[Image: see text] We combine Bayesian data integration with kinetic modeling to rigorously identify reaction mechanisms. This approach forces models to be consistent not only with kinetic measurements but with all available information. We revisit a classic study on trypsin self-digest acceleration by colloidal silica. Bayesian data integration reveals that the mechanism suggested in that study is inconsistent with its presented data. We propose an improved hypothesis. However, the detailed mechanism of the surface reaction cannot be inferred from the available data.