Systems-Theoretic Approaches to Design Biological Networks with Desired Functionalities

Area of Science:

• Systems biology
• Synthetic biology
• Computational biology

Background:

• Identifying biological network structures for specific functions is crucial in systems and synthetic biology.
• Current methods include brute-force searches and systems theory approaches.
• Deducing design principles for complex biological functionalities remains a significant challenge.

Purpose of the Study:

• To introduce a generic, systems theory-inspired approach for deducing network structures underlying biological functionalities.
• To establish a methodology that identifies admissible minimal network structures without assuming specific rate kinetics.
• To demonstrate the approach using the functionality of adaptation.

Main Methods:

• Define performance parameters to establish necessary conditions for a given functionality.
• Map these conditions to requirements on the dynamical system parameters.
• Deduce admissible minimal network structures based on these requirements.
• Solve topology-functionality specific optimization problems for parameter identification.

Main Results:

• The proposed method efficiently deduces minimal network structures for biological functionalities.
• It bypasses computationally exhaustive brute-force searches for both topology and parameter identification.
• Applied to adaptation, the method identified minimal network structures consistent with existing literature.

Conclusions:

• A systems-theoretic framework provides an efficient alternative to brute-force methods for deducing biological network designs.
• The approach is general and applicable to various biological functionalities.
• This methodology aids in understanding and designing biological systems.