Evidence map›Paper›PMID 33850714›Full record

ArticleMetabolic engineering communications2021

Analysis of metabolic network disruption in engineered microbial hosts due to enzyme promiscuity.

Vladimir Porokhin, Sara A Amin, Trevor B Nicks, Venkatesh Endalur Gopinarayanan, Nikhil U Nair, Soha Hassoun

Abstract read
In one paragraph

Article in Metabolic engineering communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. A new paradigm for the regulation of A40926B0 biosynthesis.Synthetic and systems biotechnology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors.

Vladimir PorokhinDepartment of Computer Science, Tufts University, Medford, MA, USA.
Sara A AminDepartment of Computer Science, Tufts University, Medford, MA, USA.
Trevor B NicksDepartment of Chemical and Biological Engineering, Tufts University, Medford, MA, USA.
Venkatesh Endalur GopinarayananDepartment of Chemical and Biological Engineering, Tufts University, Medford, MA, USA.
Nikhil U NairDepartment of Chemical and Biological Engineering, Tufts University, Medford, MA, USA.
Soha HassounDepartment of Computer Science, Tufts University, Medford, MA, USA.

Funding

Metabolic engineering in humans: Altered gut microbes as a therapeutic platformDP2HD091798 · NICHD · TUFTS UNIVERSITY MEDFORD · PI NAIR, NIKHIL UNNI · 2016 to 2016
$2.3M
Computational Techniques for Advancing Untargeted Metabolomics AnalysisR01GM132391 · NIGMS · TUFTS UNIVERSITY MEDFORD · PI HASSOUN, SOHA · 2019 to 2022
$1.5M
NICHD NIH HHS DP2 HD091798NIGMS NIH HHS R01 GM132391
6 · The paper itself

Abstract

Increasing understanding of metabolic and regulatory networks underlying microbial physiology has enabled creation of progressively more complex synthetic biological systems for biochemical, biomedical, agricultural, and environmental applications. However, despite best efforts, confounding phenotypes still emerge from unforeseen interplay between biological parts, and the design of robust and modular biological systems remains elusive. Such interactions are difficult to predict when designing synthetic systems and may manifest during experimental testing as inefficiencies that need to be overcome. Transforming organisms such as

Indexed as

Bio design automationEnzyme promiscuityMetabolic disruptionMetabolic engineeringMetabolic modelsSynthetic biology

Identifiers

PMID33850714
PMCPMC8039717

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.