2026-07-06
On Tuesday, 7th July 2026, 13:00, Suman Muralidharan, PhD student at SBI, will give a presentation on “Estimating Signal Flow in Biological Networks Using Topological Information” as part of our research seminar. Afterwards we look forward to discussions. The seminar is open to anyone interested.
Abstract
Cellular signaling networks regulate how cells respond to external and internal stimuli, and their dysregulation is associated with many diseases, including cancer and inflammatory disorders. Signal Flow Analysis (SFA) (Lee et al., 2018. Sci Rep 8, 5262) is a topology-based computational approach that estimates the propagation of signals through biological networks using only their connectivity and regulatory interactions.
In this seminar, I will introduce the concepts behind SFA, describe its computational workflow, and demonstrate its application using a published signaling network benchmark. Finally, I will discuss the advantages, limitations, and potential applications of topology-based network analysis in systems biology and biomedical research.
Zoom: https://uni-rostock-de.zoom.us/j/67422288014
