Summary of recent relevant arXiv papers on Systems Biology research.

Summary of Systems Biology Research from arXiv Papers

# Systems Biology

Systems biology is an interdisciplinary field that focuses on complex interactions within biological systems, using mathematical and computational models to understand and predict biological behaviors.

## Summary of Work

1. **Bayesian uncertainty analysis for complex systems biology models:** This work introduces Bayesian statistical methods to analyze complex systems biology models with many parameters. Using Bayesian emulators and iterative history matching, it efficiently searches high-dimensional parameter spaces to identify parameter sets that fit observed data, demonstrated on hormonal crosstalk in Arabidopsis root development.

2. **Systems biology beyond degree, hubs and scale-free networks:** This paper argues the necessity of using multiple network metrics beyond traditional ones like degree or betweenness to better understand biological complex networks. It emphasizes identifying informative and redundant metrics for holistic network comparisons.

3. **From Physics to Biology by Extending Criticality and Symmetry Breakings:** Theoretical exploration of symmetries in biology compared to physics. It posits biological dynamics as extended critical transitions with symmetry changes, highlighting variability within structural stability.

4. **Virtual-organism toy-model as a tool to develop bioinformatics approaches of Systems Biology:** Proposes a simplified virtual organism model replicating human physiological functions for easier analysis. Combines topological and functional analysis to understand gene/protein maps potentially aiding real-life biological understanding.

5. **Universally Sloppy Parameter Sensitivities in Systems Biology:** Investigates parameter sensitivity in biological computational models. Finds a universal 'sloppy' spectrum in parameter sensitivity, indicating many parameters remain poorly constrained despite fitting data, suggesting focus should be on predictions over individual parameter estimation.

## Papers

1. Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions (1607.06358)
2. Systems biology beyond degree, hubs and scale-free networks: the case for multiple metrics in complex networks (1205.2318)
3. From Physics to Biology by Extending Criticality and Symmetry Breakings (1103.1833)
4. Virtual-organism toy-model as a tool to develop bioinformatics approaches of Systems Biology for medical-target discovery (1301.2528)
5. Universally Sloppy Parameter Sensitivities in Systems Biology (q-bio/0701039)