Evidence map›Paper›PMID 38634809›Full record

ArticleNucleic acids research2024

DetSpace: a web server for engineering detectable pathways for bio-based chemical production.

Hèctor Martín Lázaro, Ricardo Marín Bautista, Pablo Carbonell

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. 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. Article
  2. Review
  3. Review
  4. Review
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

3 authors.

Hèctor Martín LázaroInstitute of Industrial Control Systems and Computing (AI2), Universitat Politècnica de València (UPV), Camí de Vera s/n, 46022 València, Spain.ORCID 0000-0003-0747-0841
Ricardo Marín BautistaInstitute of Industrial Control Systems and Computing (AI2), Universitat Politècnica de València (UPV), Camí de Vera s/n, 46022 València, Spain.ORCID 0009-0007-9323-9107
Pablo CarbonellInstitute of Industrial Control Systems and Computing (AI2), Universitat Politècnica de València (UPV), Camí de Vera s/n, 46022 València, Spain.ORCID 0000-0002-0993-5625

Funding

Conselleria d'Educació, Investigació, Cultura i Esport CIAICO/2021/159European Union NextGenerationEU/PRTR TED2021-131049B-I00
6 · The paper itself

Abstract

Tackling climate change challenges requires replacing current chemical industrial processes through the rational and sustainable use of biodiversity resources. To that end, production routes to key bio-based chemicals for the bioeconomy have been identified. However, their production still remains inefficient in terms of titers, rates, and yields; because of the hurdles found when scaling up. In order to make production more efficient, strategies like automated screening and dynamic pathway regulation through biosensors have been applied as part of strain optimization. However, to date, no systematic way exists to design a genetic circuit that is responsive to concentrations of a given target compound. Here, the DetSpace web server provides a set of integrated tools that allows a user to select and design a biological circuit that performs the sensing of a molecule of interest by its enzymatic conversion to a detectable molecule through a transcription factor. In that way, the DetSpace web server allows synthetic biologists to easily design biosensing routes for the dynamic regulation of metabolic pathways in applications ranging from genetic circuits design, screening, production, and bioremediation of bio-based chemicals, to diagnostics and drug delivery.

Indexed as

InternetMetabolic EngineeringSoftwareBiosensing TechniquesGene Regulatory NetworksMetabolic Networks and PathwaysSynthetic BiologyTranscription FactorsTranscription Factors

Identifiers

PMID38634809
PMCPMC11223873

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.