Inductive process modeling (IPM) is an approach to equation discovery that can be used to induce comprehensible models of dynamical systems from observed data and domain knowledge. We apply IPM to the task of modeling the conversion of Rab5 domain proteins to Rab7 domain proteins, a key process in endocytosis. Endocytosis, and in particular its specific form phagocytosis, is a major mechanism of the immune system, used to remove pathogens. We first introduce a formal representation of the domain knowledge for modeling this process. We then present the design of the IPM experiments using the domain knowledge and measured data and the results obtained from these experiments. We finally compare our results with results already published in the literature. © 2013 Springer-Verlag.
CITATION STYLE
Tanevski, J., Todorovski, L., Kalaidzidis, Y., & Džeroski, S. (2013). Inductive process modeling of Rab5-Rab7 conversion in endocytosis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8140 LNAI, pp. 265–280). Springer Verlag. https://doi.org/10.1007/978-3-642-40897-7_18
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