Abstract: Pathway knowledge bases comprised of low-resolution pathway data from literature representing static view, which does not reflect complexity of biological mechanisms, hinders application of pathway analytics algorithm. Here we propose an informatics formalism of propagation of biological influence in signaling pathways. The distinctive feature of the PBI formalism enables pathway analytics algorithms to run on flexible knowledge networks derived from ontology-driven KB of signaling pathways.
Learning Objective 1: This learning objective is to develop an informatics formalism of propagation of biological influence (PBI) in signal transduction pathways.
Nattapon Thanintorn, University of Missouri
Zainab Al-Taie (Presenter)
University of Missouri
Olha Kholod, University of Missouri
Dmitriy Shin, University of Missouri
Ilker Ersoy, University of Missouri
Richard Hammer, University of Missouri