First-pass extracted concept

dynamic transcriptional regulatory modules

Candidate: concept label1 source documents3 linked claims

Jump to explainers Jump to evidence Jump to sources Jump to claims

Live refresh every 5sNext refresh in 5s

Extracted Explainers

What the tool is doing

The article proposes dynamic transcriptional regulatory modules as a direction for improving gene-expression control in Yarrowia lipolytica.

Source 1DOI PubMed

Resources required

The abstract states that machine learning guided design and synthetic biology approaches are part of constructing these modules.

Source 1DOI PubMed

What problem it solves

They are proposed to address limited dynamic regulatory capacity of promoters and the resulting metabolic flux imbalance.

Source 1DOI PubMed

Evidence Snippets

This opinion article focuses on these two pivotal directions to dissect their technical bottlenecks and propose innovative solutions: constructing dynamic transcriptional regulatory modules through machine learning guided design and synthetic biology approaches

Evidence 1Source 1DOI PubMedprovenance

Supporting Sources

Source 1primary paper2025MEDDOI PubMed

1 evidence snippet 3 linked claims Claim 1 Claim 2 Claim 3

Linked Claims

Claim 1limitation statementsupports2025Source 1DOI PubMed

Promoters in Yarrowia lipolytica have limited dynamic regulatory capacity, leading to metabolic flux imbalance.

Quoted textsource-backed

promoters with limited dynamic regulatory capacity, leading to metabolic flux imbalance

Claim 2problem statementsupports2025Source 1DOI PubMed

Underdevelopment of gene expression tools in Yarrowia lipolytica is a critical bottleneck limiting its industrial application.

Quoted textsource-backed

the underdevelopment of gene expression tools in Y. lipolytica has become a critical bottleneck, limiting its industrial application

Claim 3proposed solutionsupports2025Source 1DOI PubMed

Constructing dynamic transcriptional regulatory modules through machine learning guided design and synthetic biology approaches is proposed as an innovative solution direction in Yarrowia lipolytica.

Quoted textsource-backed

constructing dynamic transcriptional regulatory modules through machine learning guided design and synthetic biology approaches