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  Computational analysis of protein synthesis, diffusion, and binding in compartmental biochips

Förste, S., Vonshak, O., Daube, S. S., Bar-Ziv, R. H., Lipowsky, R., & Rudorf, S. (2023). Computational analysis of protein synthesis, diffusion, and binding in compartmental biochips. Microbial Cell Factories, 22: 244. doi:10.1186/s12934-023-02237-5.

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Förste, Stefanie1, Author           
Vonshak, Ohad, Author
Daube, Shirley S., Author
Bar-Ziv, Roy H., Author
Lipowsky, Reinhard2, Author                 
Rudorf, Sophia, Author
Affiliations:
1Sophia Rudorf, Theorie & Bio-Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society, ou_2205637              
2Reinhard Lipowsky, Theorie & Bio-Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society, ou_1863327              

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 Abstract: Protein complex assembly facilitates the combination of individual protein subunits into functional entities, and thus plays a crucial role in biology and biotechnology. Recently, we developed quasi-twodimensional, silicon-based compartmental biochips that are designed to study and administer the synthesis and assembly of protein complexes. At these biochips, individual protein subunits are synthesized from locally confined high-density DNA brushes and are captured on the chip surface by molecular traps. Here, we investigate single-gene versions of our quasi-twodimensional synthesis systems and introduce the trap-binding efficiency to characterize their performance. We show by mathematical and computational modeling how a finite trap density determines the dynamics of protein-trap binding and identify three distinct regimes of the trap-binding efficiency. We systematically study how protein-trap binding is governed by the system’s three key parameters, which are the synthesis rate, the diffusion constant and the trap-binding affinity of the expressed protein. In addition, we describe how spatially differential patterns of traps modulate the protein-trap binding dynamics. In this way, we extend the theoretical knowledge base for synthesis, diffusion, and binding in compartmental systems, which helps to achieve better control of directed molecular self-assembly required for the fabrication of nanomachines for synthetic biology applications or nanotechnological purposes.

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Language(s): eng - English
 Dates: 2023-11-302023
 Publication Status: Issued
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 Identifiers: DOI: 10.1186/s12934-023-02237-5
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Title: Microbial Cell Factories
Source Genre: Journal
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Publ. Info: BioMed Central
Pages: - Volume / Issue: 22 Sequence Number: 244 Start / End Page: - Identifier: ISSN: 1475-2859