Evidence map›Paper›PMID 38037098›Full record

ArticleMicrobial cell factories2023

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

Stefanie Förste, Ohad Vonshak, Shirley S Daube, Roy H Bar-Ziv, Reinhard Lipowsky, Sophia Rudorf

Abstract read
In one paragraph

Article in Microbial cell factories, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Stefanie FörsteTheory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.
Ohad VonshakDepartment of Chemical and Biological Physics, The Weizmann Institute of Science, Rehovot, 7610001, Israel.
Shirley S DaubeDepartment of Chemical and Biological Physics, The Weizmann Institute of Science, Rehovot, 7610001, Israel.
Roy H Bar-ZivDepartment of Chemical and Biological Physics, The Weizmann Institute of Science, Rehovot, 7610001, Israel.
Reinhard LipowskyTheory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.
Sophia RudorfInstitute of Cell Biology and Biophysics, Leibniz University Hannover, 30419, Hannover, Germany. rudorf@cell.uni-hannover.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

NanotechnologyProtein BiosynthesisComputer SimulationProtein SubunitsSiliconProtein SubunitsSilicon

Identifiers

PMID38037098
PMCPMC10688499

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.