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11/05/2024

Review

Systematizing cellular complexity: A Hilbertian approach to biological problems

Addressing fundamental aspects of cellular regulation, adaptability, and noise management is vital for understanding the robustness and functionality of biological systems. These aspects encapsulate the challenges that cells face in maintaining stability, responding to environmental changes, and harnessing noise for functionality. 

Image credit: National Cancer Institute

Systematizing cellular complexity: A Hilbertian approach to biological problems

11/05/2024

Research Article

Well-connectedness and community detection

This study finds that five different community detection methods–the Leiden algorithm optimizing the Constant Potts Model, the Leiden algorithm optimizing modularity, Infomap, Markov Cluster (MCL), and Iterative k-core (IKC)–identify communities that fail even a mild requirement for well-connectedness.

Image credit: Shubham Dhage

Well-connectedness and community detection

11/05/2024

Research Article

Synergistic integration of fragmented transportation networks: When do networks (not) synergize?

This study investigated the effects of integrating two transportation networks to leverage the excess transportation capacity left behind by fluctuations in demand or fragmented by disasters. The authors developed an analytical framework and conducted numerical experiments to identify conditions under which network integration is beneficial.

Image credit: Erik Odiin

Synergistic integration of fragmented transportation networks: When do networks (not) synergize?

11/05/2024

Research Article

Leveraging mathematical modeling framework to guide regimen strategy for phage therapy

Understanding of the complex kinetics between phages, target bacteria, and the emergence of phage resistance remain hurdles to successful clinical outcomes. Building upon previous mathematical concepts, this study developed biologically-motivated nonlinear ordinary differential equation models to explore single, cocktail, and sequential phage treatment modalities. 

Image credit: Hiroshi Tsubono

Leveraging mathematical modeling framework to guide regimen strategy for phage therapy

11/05/2024

Research Article

A dynamical systems approach to optimal foraging

The authors present a novel approach to model foraging in-silico using a continuous coupled dynamical system. The dynamical system is composed of three differential equations, representing the position of the agent, the agent’s control policy, and the environmental resource dynamics.

A dynamical systems approach to optimal foraging

Image credit: Arno Moller

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PLOS Complex Systems | ISSN: 2837-8830 (online)