A. Chytas, N. Bassiliades, I. Vlahavas, P. Natsiavas, “Towards a Systems Pharmacology Ontology: the use of state-machines paradigm”, Proc. 14th International Semantic Web Applications and Tools for Health Care and Life Sciences Conference (SWAT4HCLS), Basel, Switzerland, 13-16 Feb 2023, CEUR Workshop Proceedings, Vol. 2956.
Identification of potential Adverse Drug Reactions (ADRs) can be facilitated via the engagement of emerging data sources, including pharmacological Mechanism of Action information. Biochemical, genetic, pharmacogenomics and especially signaling pathway information can be part of this emerging data sources ecosystem. Systems Pharmacology (SP) could be the knowledge link, providing the means to integrate heterogeneous data via models supporting computational needs. We propose the development of the States Pharmacology Ontology (SPO), an ontological model that could facilitate the representation of systems
pharmacology information, focusing on state-based machine paradigm.
