Evidence map›Paper›PMID 34833047›Full record

ReviewLife (Basel, Switzerland)2021

Synthetic Protein Circuits and Devices Based on Reversible Protein-Protein Interactions: An Overview.

Stefano Rosa, Chiara Bertaso, Paolo Pesaresi, Simona Masiero, Andrea Tagliani

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Engineering signalling pathways in mammalian cells.Nature biomedical engineering · 2024
    Review
  2. Article
  3. Article
  4. Synthetic Genetic Elements, Devices, and Systems.Life (Basel, Switzerland) · 2022
    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

5 authors.

Stefano RosaDepartment of Biosciences, Università Degli Studi di Milano, 20133 Milan, Italy.ORCID 0000-0003-0856-6351
Chiara BertasoDepartment of Biosciences, Università Degli Studi di Milano, 20133 Milan, Italy.
Paolo PesaresiDepartment of Biosciences, Università Degli Studi di Milano, 20133 Milan, Italy.ORCID 0000-0002-3236-7005
Simona MasieroDepartment of Biosciences, Università Degli Studi di Milano, 20133 Milan, Italy.
Andrea TaglianiDepartment of Biosciences, Università Degli Studi di Milano, 20133 Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interactions (PPIs) contribute to regulate many aspects of cell physiology and metabolism. Protein domains involved in PPIs are important building blocks for engineering genetic circuits through synthetic biology. These domains can be obtained from known proteins and rationally engineered to produce orthogonal scaffolds, or computationally designed de novo thanks to recent advances in structural biology and molecular dynamics prediction. Such circuits based on PPIs (or protein circuits) appear of particular interest, as they can directly affect transcriptional outputs, as well as induce behavioral/adaptational changes in cell metabolism, without the need for further protein synthesis. This last example was highlighted in recent works to enable the production of fast-responding circuits which can be exploited for biosensing and diagnostics. Notably, PPIs can also be engineered to develop new drugs able to bind specific intra- and extra-cellular targets. In this review, we summarize recent findings in the field of protein circuit design, with particular focus on the use of peptides as scaffolds to engineer these circuits.

Indexed as

combinatorial librariespeptidesprotein circuitsprotein-protein interactionssynthetic biology

Identifiers

PMID34833047
PMCPMC8623019

What OpenQuestion holds

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Registered trials

None linked

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.