Evidence map›Paper›PMID 20628073›Full record

ArticleBioinformatics (Oxford, England)2010

BioNetCAD: design, simulation and experimental validation of synthetic biochemical networks.

Stéphanie Rialle, Liza Felicori, Camila Dias-Lopes, Sabine Pérès, Sanaâ El Atia, Alain R Thierry, Patrick Amar, Franck Molina

Abstract readValidation Study
In one paragraph

Article in Bioinformatics (Oxford, England), 2010. 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
–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

6 citing papers in PubMed.

  1. AutoAnalyze in Systems Biology.Bioinformatics and biology insights · 2019
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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

8 authors.

Stéphanie RialleSysDiag UMR 3145 CNRS/Bio-Rad, Modélisation et ingénierie de systèmes complexes biologiques pour le diagnostic, Cap Delta/Parc Euromédecine, Montpellier, France. stephanie.rialle@sysdiag.cnrs.fr
Liza Felicori
Camila Dias-Lopes
Sabine Pérès
Sanaâ El Atia
Alain R Thierry
Patrick Amar
Franck Molina

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationSynthetic biology studies how to design and construct biological systems with functions that do not exist in nature. Biochemical networks, although easier to control, have been used less frequently than genetic networks as a base to build a synthetic system. To date, no clear engineering principles exist to design such cell-free biochemical networks.

resultsWe describe a methodology for the construction of synthetic biochemical networks based on three main steps: design, simulation and experimental validation. We developed BioNetCAD to help users to go through these steps. BioNetCAD allows designing abstract networks that can be implemented thanks to CompuBioTicDB, a database of parts for synthetic biology. BioNetCAD enables also simulations with the HSim software and the classical Ordinary Differential Equations (ODE). We demonstrate with a case study that BioNetCAD can rationalize and reduce further experimental validation during the construction of a biochemical network. AVAILABILITY AND IMPLEMENTATION: BioNetCAD is freely available at http://www.sysdiag.cnrs.fr/BioNetCAD. It is implemented in Java and supported on MS Windows. CompuBioTicDB is freely accessible at http://compubiotic.sysdiag.cnrs.fr/.

Indexed as

Computer-Aided DesignComputer SimulationComputational BiologyDatabases, FactualModels, BiologicalProgramming LanguagesProtein BiosynthesisProteinsSoftwareSystems BiologyProteins

Identifiers

PMID20628073
PMCPMC2935418

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.