Evidence map›Paper›PMID 39684846›Full record

ArticleInternational journal of molecular sciences2024

Exploring the Promoter Generation and Prediction of

Cuihuan Zhao, Yuying Guan, Shuan Yan, Jiahang Li

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Deep Generative Model-Driven Design of Microbial Synthetic Promoters.Journal of microbiology and biotechnology · 2025
    Review
  3. 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

4 authors.

Cuihuan ZhaoCenter for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.ORCID 0009-0002-7279-2265
Yuying GuanCenter for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Shuan YanDepartment of Engineering Physics, Institute of Public Safety Research, Tsinghua University, Beijing 100084, China.
Jiahang LiSchool of Mathematical Sciences, Nankai University, Tianjin 300071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Promoters, as core elements in the regulation of gene expression, play a pivotal role in genetic engineering and synthetic biology. The accurate prediction and optimization of promoter strength are essential for advancing these fields. Here, we present the first promoter strength database tailored to

Indexed as

HalomonasPromoter Regions, GeneticDeep LearningMachine Learninggenerative adversarial networks (GANs)Halomonasmulti-model fusionpromotersquantile hit rate

Identifiers

PMID39684846
PMCPMC11642183

What Socratic 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 Socratic graph.