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Designing Biological Circuits: From Principles to Applications.

Debomita Chakraborty^1,2,3, Raghunathan Rengaswamy^2,3,4, Karthik Raman^1,2,3

¹Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology, Indian Institute of Technology (IIT) Madras, Chennai 600 036, India.

ACS Synthetic Biology

|March 23, 2022

Summary

This summary is machine-generated.

This review systematically organizes genetic circuit design research using generalized morphological analysis. It maps literature by methodology, modeling, functionality, characteristics, and robustness strategies, identifying future research gaps.

Keywords:

biological circuits engineering biology gene regulatory networks genetic circuit design synthetic biology transcription regulation networks

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Area of Science:

Synthetic Biology
Genetic Engineering
Systems Biology

Background:

Genetic circuit design is a foundational area in synthetic biology, with early examples like the repressilator and toggle switch.
Significant advancements have been made since the initial implementations of genetic circuits.

Purpose of the Study:

To systematically organize and review key works in genetic circuit design.
To employ generalized morphological analysis to map the existing literature.
To identify research gaps and suggest future research directions.

Main Methods:

Systematic literature review using generalized morphological analysis.
Categorization of research based on design methodologies (e.g., brute-force, control-theoretic).
Analysis of modeling techniques, circuit functionalities, design characteristics, and robustness strategies.

Main Results:

Literature mapped across diverse design methodologies, modeling approaches, and circuit functionalities.
Key design characteristics and strategies for robust genetic circuit design identified.
A systematic assessment of research gaps was performed.

Conclusions:

The generalized morphological analysis framework provides a structured approach to understanding genetic circuit design.
Identified research gaps highlight promising avenues for future synthetic biology research.
Future work should focus on addressing these identified gaps for advancing genetic circuit development.