基于生物网络的动态拓扑优化

Abstract

This paper explores the application of dynamic topology optimization techniques to biological networks, aiming to enhance drug discovery and gene editing. Biological networks, complex systems of interconnected nodes and edges, are increasingly utilized in various fields. Traditional optimization methods often rely on fixed parameters, failing to fully exploit the inherent structure and dynamic properties of these networks. We propose a novel framework that leverages the topology of biological networks, employing dynamic optimization algorithms to iteratively refine network parameters and achieve optimal configurations. This research focuses on a specific example – protein-protein interaction networks – demonstrating the potential of this approach to improve network stability and functional efficiency. The core mechanism involves analyzing network topology, identifying critical nodes, and dynamically adjusting parameters to promote convergence and improve overall network performance. This work contributes to the development of more robust and effective strategies for optimizing biological networks.