Evidence map›Paper›PMID 21327060›Full record

ArticleBioengineered bugs

Computer-aided design of biological circuits using TinkerCell.

Deepak Chandran, Frank T Bergmann, Herbert M Sauro

Abstract read
In one paragraph

Article in Bioengineered bugs. 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. Design, modeling andHeliyon · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. The Promise and Challenge of Digital Biology.Journal of bioengineering & biomedical science · 2013
    Article
  9. Review
  10. 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

3 authors.

Deepak ChandranDepartment of Bioengineering; University of Washington; Seattle, WA, USA. deepakc@u.washington.edu
Frank T Bergmann
Herbert M Sauro

Funding

Continued Development and Maintenance of the Systems Biology WorkbenchR01GM081070 · NIGMS · UNIVERSITY OF WASHINGTON · PI SAURO, HERBERT M. · 2007 to 2014
$1.7M
NIGMS NIH HHS GM081070NIGMS NIH HHS R01 GM081070
6 · The paper itself

Abstract

Synthetic biology is an engineering discipline that builds on modeling practices from systems biology and wet-lab techniques from genetic engineering. As synthetic biology advances, efficient procedures will be developed that will allow a synthetic biologist to design, analyze, and build biological networks. In this idealized pipeline, computer-aided design (CAD) is a necessary component. The role of a CAD application would be to allow efficient transition from a general design to a final product. TinkerCell is a design tool for serving this purpose in synthetic biology. In TinkerCell, users build biological networks using biological parts and modules. The network can be analyzed using one of several functions provided by TinkerCell or custom programs from third-party sources. Since best practices for modeling and constructing synthetic biology networks have not yet been established, TinkerCell is designed as a flexible and extensible application that can adjust itself to changes in the field.

Indexed as

Computer-Aided DesignGenetic EngineeringModels, BiologicalSynthetic BiologyCADcomputationaldesignmodelingsimulationsoftwarestandardssynthetic biologysystems biology

Identifiers

PMID21327060
PMCPMC3026467

What OpenQuestion holds

Textmetadata
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.