Evidence map›Paper›PMID 39343083›Full record

ReviewBiotechnology advances2024

Engineering conditional protein-protein interactions for dynamic cellular control.

Anthony M Stohr, Derron Ma, Wilfred Chen, Mark Blenner

Abstract readReview
In one paragraph

Review in Biotechnology advances, 2024. 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

4 authors.

Anthony M StohrDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716, USA.
Derron MaDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716, USA.
Wilfred ChenDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716, USA. Electronic address: wilfred@udel.edu.
Mark BlennerDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716, USA. Electronic address: blenner@udel.edu.

Funding

Enabling Plant Natural Product Biosynthesis by Debugging Heterologous Protein Expression in YeastR35GM133803 · NIGMS · UNIVERSITY OF DELAWARE · PI BLENNER, MARK ALAN · 2019 to 2023
$2.0M
NIGMS NIH HHS R35 GM133803
6 · The paper itself

Abstract

Conditional protein-protein interactions enable dynamic regulation of cellular activity and are an attractive approach to probe native protein interactions, improve metabolic engineering of microbial factories, and develop smart therapeutics. Conditional protein-protein interactions have been engineered to respond to various chemical, light, and nucleic acid-based stimuli. These interactions have been applied to assemble protein fragments, build protein scaffolds, and spatially organize proteins in many microbial and higher-order hosts. To foster the development of novel conditional protein-protein interactions that respond to new inputs or can be utilized in alternative settings, we provide an overview of the process of designing new engineered protein interactions while showcasing many recently developed computational tools that may accelerate protein engineering in this space.

Indexed as

Protein EngineeringHumansMetabolic EngineeringProtein BindingProteinsProteinsComputational protein designDynamic regulationProtein engineeringProtein-protein interactions

Identifiers

PMID39343083
PMCPMC12478546

What OpenQuestion holds

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Read underepoch 390

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.