Evidence map›Paper›PMID 30915329›Full record

ArticleFrontiers in bioengineering and biotechnology2019

High-Performance Biocomputing in Synthetic Biology-Integrated Transcriptional and Metabolic Circuits.

Angel Goñi-Moreno, Pablo I Nikel

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Phage-delivered CRISPRi enables bacterial biocomputation.Synthetic biology (Oxford, England) · 2025
    Review
  3. Engineering signalling pathways in mammalian cells.Nature biomedical engineering · 2024
    Review
  4. Article
  5. Disentangling the Regulatory Response ofACS synthetic biology · 2024
    Article
  6. Article
  7. Article
  8. ACS synthetic biology · 2023
    Article
  9. An electrogenetic toggle switch model.Microbial biotechnology · 2023
    Article
  10. Article
  11. Review
  12. Picking the right metaphors for addressing microbial systems: economic theory helps understanding biological complexity.International microbiology : the official journal of the Spanish Society for Microbiology · 2021
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
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

2 authors.

Angel Goñi-MorenoSchool of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
Pablo I NikelThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biocomputing uses molecular biology parts as the hardware to implement computational devices. By following pre-defined rules, often hard-coded into biological systems, these devices are able to process inputs and return outputs-thus

Indexed as

biocomputingboolean logicgenetic circuitsmetabolic engineeringmetabolic networkssynthetic biology

Identifiers

PMID30915329
PMCPMC6421265

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.