Evidence map›Paper›PMID 26415599›Full record

ArticleBMC bioinformatics2015

PROKARYO: an illustrative and interactive computational model of the lactose operon in the bacterium Escherichia coli.

Afshin Esmaeili, Timothy Davison, Andrew Wu, Joenel Alcantara, Christian Jacob

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 16 citations in OpenAlex.

  1. Frontiers in genetics · 2021
    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

5 authors at 1 institution in 1 country.

Afshin EsmaeiliDepartment of Computer Science, Faculty of Science, University of Calgary, 2500 University Drive NW, Calgary, T2N 1N4, Canada. afshin@invistaware.com.
Timothy DavisonDepartment of Computer Science, Faculty of Science, University of Calgary, 2500 University Drive NW, Calgary, T2N 1N4, Canada. tbdaviso@ucalgary.ca.
Andrew WuDepartment of Computer Science, Faculty of Science, University of Calgary, 2500 University Drive NW, Calgary, T2N 1N4, Canada. agkwu@ucalgary.ca.
Joenel AlcantaraDepartment of Microbiology, Immunology and Infectious Diseases, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, T2N 4N1, Canada. jalcanta@ucalgary.ca.
Christian JacobDepartment of Computer Science, Faculty of Science, University of Calgary, 2500 University Drive NW, Calgary, T2N 1N4, Canada. cjacob@ucalgary.ca.
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe are creating software for agent-based simulation and visualization of bio-molecular processes in bacterial and eukaryotic cells. As a first example, we have built a 3-dimensional, interactive computer model of an Escherichia coli bacterium and its associated biomolecular processes. Our illustrative model focuses on the gene regulatory processes that control the expression of genes involved in the lactose operon. Prokaryo, our agent-based cell simulator, incorporates cellular structures, such as plasma membranes and cytoplasm, as well as elements of the molecular machinery, including RNA polymerase, messenger RNA, lactose permease, and ribosomes.

resultsThe dynamics of cellular 'agents' are defined by their rules of interaction, implemented as finite state machines. The agents are embedded within a 3-dimensional virtual environment with simulated physical and electrochemical properties. The hybrid model is driven by a combination of (1) mathematical equations (DEQs) to capture higher-scale phenomena and (2) agent-based rules to implement localized interactions among a small number of molecular elements. Consequently, our model is able to capture phenomena across multiple spatial scales, from changing concentration gradients to one-on-one molecular interactions. We use the classic gene regulatory mechanism of the lactose operon to demonstrate our model's resolution, visual presentation, and real-time interactivity. Our agent-based model expands on a sophisticated mathematical E. coli metabolism model, through which we highlight our model's scientific validity.

conclusionWe believe that through illustration and interactive exploratory learning a model system like Prokaryo can enhance the general understanding and perception of biomolecular processes. Our agent-DEQ hybrid modeling approach can also be of value to conceptualize, illustrate, and--eventually--validate cell experiments in the wet lab.

Indexed as

Models, BiologicalAlgorithmsDNA-Directed RNA PolymerasesEscherichia coliEscherichia coli ProteinsGene Expression RegulationLac OperonMembrane Transport ProteinsRNA, MessengerSoftwareDNA-Directed RNA PolymerasesEscherichia coli Proteinslactose permeaseMembrane Transport ProteinsRNA, Messenger

Identifiers

PMID26415599
PMCPMC4587781
OpenAlexW2132626965

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.