Anguix: Cell Signaling Modeling Improvement through Sabio-RK association to Reactome

Fabio Montoni, Ronaldo N. De Sousa, Marcelo B. De Lima Junior, Cristiano G. S. Campos, Willian Wang, Vivian M. Constantino, Cássia S. Sanctos, Hugo Aguirre Armelin, Marcelo da Silva Reis

Abstract: Kinetics of biochemical reactions are widely spread in scientific papers and repositories such as Sabio-RK. This information is extremely important for the study of cell signaling pathways; however, to the best of our knowledge, there is no method available to integrate pathways reactions topology data with kinetic data. Therefore, we propose here an integration of kinetic data stored in Sabio-RK to the Reactome graph database. That integration, called Anguix, can be deployed using a Python program and also can be easily accessed using Neo4J. We believe the Anguix graph database might contribute to the modeling of cell signaling pathways, by combining the completeness of Reactome with kinetic and quantitative data stored in Sabio-RK.