Evidence map›Paper›PMID 37435441›Full record

ArticleMetabolic engineering communications2023

Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning.

Paul Hanke, Bruce Parrello, Olga Vasieva, Chase Akins, Philippe Chlenski, Gyorgy Babnigg, Chris Henry, Fatima Foflonker, Thomas Brettin, Dionysios Antonopoulos and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolic engineering communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 3 institutions in 1 country.

Paul HankeArgonne National Laboratory, 9700 S. Cass Ave, Argonne, IL, 60439, USA.
Bruce ParrelloUniversity of Chicago, 5801 S. Ellis Ave, Chicago, IL, 60637, USA.
Olga VasievaBSMI, 1818 Skokie Blvd., #201, Northbrook, IL, 60062, USA.
Chase AkinsArgonne National Laboratory, 9700 S. Cass Ave, Argonne, IL, 60439, USA.
Philippe ChlenskiDepartment of Computer Science, Columbia University, New York, NY, 10027, USA.
Gyorgy BabniggArgonne National Laboratory, 9700 S. Cass Ave, Argonne, IL, 60439, USA.
Chris HenryArgonne National Laboratory, 9700 S. Cass Ave, Argonne, IL, 60439, USA.
Fatima FoflonkerArgonne National Laboratory, 9700 S. Cass Ave, Argonne, IL, 60439, USA.
Thomas BrettinArgonne National Laboratory, 9700 S. Cass Ave, Argonne, IL, 60439, USA.
Dionysios AntonopoulosArgonne National Laboratory, 9700 S. Cass Ave, Argonne, IL, 60439, USA.
Rick StevensArgonne National Laboratory, 9700 S. Cass Ave, Argonne, IL, 60439, USA.
Michael FonsteinArgonne National Laboratory, 9700 S. Cass Ave, Argonne, IL, 60439, USA.
Argonne National Laboratory · USUniversity of Chicago · USColumbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this study is to develop a general strategy for bacterial engineering using an integrated synthetic biology and machine learning (ML) approach. This strategy was developed in the context of increasing L-threonine production in

Indexed as

AI-DrivenE. coliHybrid-machine learningMLStrain engineeringThreonine

Identifiers

PMID37435441
PMCPMC10331477
OpenAlexW4380992024

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.