Evidence map›Paper›PMID 36935615›Full record

ArticleACS synthetic biology2023

Performance Prediction of Fundamental Transcriptional Programs.

Prasaad T Milner, Ziqiao Zhang, Zachary D Herde, Namratha R Vedire, Fumin Zhang, Matthew J Realff, Corey J Wilson

Open access · hybridAbstract read
In one paragraph

Article in ACS synthetic biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Prasaad T MilnerSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-2000, United States.
Ziqiao ZhangSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-2000, United States.ORCID 0000-0002-5968-6444
Zachary D HerdeSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-2000, United States.ORCID 0000-0003-4135-1192
Namratha R VedireSchool of Computer Science, Georgia Institute of Technology, Atlanta, Georgia 30332-2000, United States.
Fumin ZhangSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-2000, United States.
Matthew J RealffSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-2000, United States.ORCID 0000-0002-5423-5206
Corey J WilsonSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-2000, United States.ORCID 0000-0003-3040-1676
Georgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional programming leverages systems of engineered transcription factors to impart decision-making (

Indexed as

LogicTranscription FactorsTranscription Factorsantirepressorsbiological circuit predictionsynthetic gene circuitssynthetic transcription factorstranscriptional programming

Identifiers

PMID36935615
PMCPMC10127286
OpenAlexW4327894037

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.