Special Session
1
Integrative Approaches to Biological Network Dynamics:
From Network Controllability to Precision Medicine and AI
Organizer
Prof. Jose C. Nacher, Toho University, Japan
This session highlights novel computational approaches, AI-based methods,
and multi-omics data integration for decoding biological networks and
understanding how network structure and dynamics relate to cellular
function, disease mechanisms, and biological pathways. We welcome
contributions on network inference, dynamic modeling, single-cell analysis,
predictive frameworks for precision medicine, and studies of drug
interactions and repurposing. Contributions on network controllability and
other control-based approaches are also encouraged.
Related
topics:
1. Integration of multi-omics and drug-response
data to uncover network dynamics, pathway activity, and therapeutic
vulnerabilities
2. AI-based approaches, including deep learning, graph
neural networks, and computational models of neural systems, for predicting
disease genes, modeling cellular pathways or functional brain networks, and
identifying control strategies in complex biological systems
3.
Computational methods for elucidating cell-fate transitions, reprogramming
pathways, and identifying therapeutic targets in precision medicine
4.
Boolean network models of gene-regulatory and signaling systems under
perturbation
5. Algorithms and mathematical frameworks for analyzing
network controllability in complex biological systems including, but not
limited to, protein–protein interaction networks, metabolic pathways, gene
regulatory networks or circuits, and neuronal networks.
Submission Guideline
Please submit your manuscript via
Electronic Submission System (account is needed). (Please choose the
session number when you make the submission.)
Important Dates
Submission of Full Papers: August. 05, 2025
Notification of Review Result
of Papers from Special Sessions: August. 25, 2025