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Ribosomes

Ribosomes

Ribosomes translate genetic information encoded by messenger RNA (mRNA) into proteins. Both prokaryotic and eukaryotic cells have ribosomes. Cells that synthesize large quantities of protein—such as secretory cells in the human pancreas—can contain millions of ribosomes.
Ribosome Structure and Assembly
Ribosomes are composed of ribosomal RNA (rRNA) and proteins. In eukaryotes, rRNA is transcribed from genes in the nucleolus—a part of the nucleus that specializes in ribosome...

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Updated: Nov 30, 2025

Author Spotlight: Optimizing CFPS Systems for Synthetic Cell Construction

Author Spotlight: Optimizing CFPS Systems for Synthetic Cell Construction

Published on: April 19, 2024

Modeling Cell-Free Protein Synthesis Systems-Approaches and Applications.

Jan Müller¹, Martin Siemann-Herzberg¹, Ralf Takors¹

¹Institute of Biochemical Engineering, University of Stuttgart, Stuttgart, Germany.

Frontiers in Bioengineering and Biotechnology

|November 16, 2020

Summary

Cell-free protein synthesis (CFPS) modeling advances biochemical understanding. Advanced computational models identify limitations and optimize systems for diverse applications, enhancing synthetic biology.

Keywords:

cell-free synthetic biology in silico in vitro protein synthesis mathematical model modeling ribosomes transcription and translation

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Rapid, Enzymatic Methods for Amplification of Minimal, Linear Templates for Protein Prototyping using Cell-Free Systems

Published on: June 14, 2021

Area of Science:

Biochemistry and Molecular Biology
Systems Biology
Synthetic Biology

Background:

In vitro systems, like cell-free protein synthesis (CFPS), are crucial for studying fundamental biochemical reactions.
CFPS systems replicate cellular transcription and translation in a controlled environment, enabling detailed analysis of molecular components and networks.
In silico modeling of CFPS systems is essential for understanding component interactions, limitations, and bottlenecks.

Purpose of the Study:

To review the evolution and broadening scope of computational modeling in cell-free protein synthesis (CFPS) systems.
To highlight how modeling has advanced the understanding of CFPS dynamics and limitations.
To showcase current applications of CFPS modeling.

Main Methods:

Initial studies utilized black-box models to analyze the production and degradation dynamics of macromolecules (mRNA, ribosomes, proteins).
More sophisticated models were developed to identify specific limitations, such as translation initiation and tRNA supply shortages.
Current approaches integrate diverse techniques including kinetic parameter screening, stochastic analysis, and flux balance analysis (FBA).

Main Results:

Black-box models provided foundational insights into macromolecule dynamics within CFPS systems.
Advanced modeling successfully identified and helped address critical bottlenecks like translation initiation and tRNA availability.
Current modeling strategies encompass a wide range of applications, from parameter screening to energy supply assessment.

Conclusions:

Computational modeling has been instrumental in advancing the understanding and optimization of cell-free protein synthesis (CFPS) systems.
The scope of CFPS modeling has expanded significantly, addressing complex challenges and enabling diverse applications.
Continued development in modeling techniques will further enhance the capabilities and applications of CFPS in synthetic biology and beyond.