Evidence map›Paper›PMID 26504142›Full record

ArticleBioinformatics (Oxford, England)2016

Pycellerator: an arrow-based reaction-like modelling language for biological simulations.

Bruce E Shapiro, Eric Mjolsness

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. 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
–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

1 citing paper in PubMed.

  1. 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.

Bruce E ShapiroDepartment of Mathematics, California State University, Northridge, CA 91330, USA and.
Eric MjolsnessDepartment of Computer Science, University of California, Irvine, CA 92697, USA.

Funding

Deciphering the gene regulatory network controlling vertebrate endodermal fatesR01HD073179 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHO, KEN W.Y., MJOLSNESS, ERIC D · 2013 to 2017
$2.9M
Stochastic dynamics for multiscale biologyR01GM086883 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MJOLSNESS, ERIC D · 2008 to 2011
$1.2M
NICHD NIH HHS R01 HD073179NIGMS NIH HHS R01 GM086883
6 · The paper itself

Abstract

motivationWe introduce Pycellerator, a Python library for reading Cellerator arrow notation from standard text files, conversion to differential equations, generating stand-alone Python solvers, and optionally running and plotting the solutions. All of the original Cellerator arrows, which represent reactions ranging from mass action, Michales-Menten-Henri (MMH) and Gene-Regulation (GRN) to Monod-Wyman-Changeaux (MWC), user defined reactions and enzymatic expansions (KMech), were previously represented with the Mathematica extended character set. These are now typed as reaction-like commands in ASCII text files that are read by Pycellerator, which includes a Python command line interface (CLI), a Python application programming interface (API) and an iPython notebook interface.

resultsCellerator reaction arrows are now input in text files. The arrows are parsed by Pycellerator and translated into differential equations in Python, and Python code is automatically generated to solve the system. Time courses are produced by executing the auto-generated Python code. Users have full freedom to modify the solver and utilize the complete set of standard Python tools. The new libraries are completely independent of the old Cellerator software and do not require Mathematica. AVAILABILITY AND IMPLEMENTATION: All software is available (GPL) from the github repository at https://github.com/biomathman/pycellerator/releases. Details, including installation instructions and a glossary of acronyms and terms, are given in the Supplementary information.

Indexed as

Computer SimulationModels, BiologicalProgramming LanguagesGene Expression RegulationMAP Kinase Signaling SystemSoftware

Identifiers

PMID26504142
PMCPMC5963356

What OpenQuestion holds

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Registered trials

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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.