Evidence map›Paper›PMID 24273241›Full record

ArticleBioinformatics (Oxford, England)2014

Pathway Commons at virtual cell: use of pathway data for mathematical modeling.

Michael L Blinov, James C Schaff, Oliver Ruebenacker, Xintao Wei, Dan Vasilescu, Fei Gao, Frank Morgan, Li Ye, Anuradha Lakshminarayana, Ion I Moraru and 1 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Large-scale automated machine reading discovers new cancer-driving mechanisms.Database : the journal of biological databases and curation · 2018
    Article
  5. Critical Genomic Networks and Vasoreactive Variants in Idiopathic Pulmonary Arterial Hypertension.American journal of respiratory and critical care medicine · 2016
    Article
  6. Article
  7. 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

11 authors.

Michael L BlinovCenter for Cell Analysis and Modeling, University of Connecticut Health Center, Farmington, CT 06030, USA.
James C Schaff
Oliver Ruebenacker
Xintao Wei
Dan Vasilescu
Fei Gao
Frank Morgan
Li Ye
Anuradha Lakshminarayana
Ion I Moraru
Leslie M Loew

Funding

POLARITY IN NETWORKS AND PATHWAYS(RMI)U54RR022232 · NCRR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LOEW, LESLIE M · 2005 to 2009
$12.9M
TR&D4 Spatial Modeling: Modeling Framework for Cell MotilityP41GM103313 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LOEW, LESLIE M · 2012 to 2018
$9.7M
Bringing BioNetGen Rule-Based Modeling to Virtual Cell UsersR01GM095485 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI BLINOV, MICHAEL, MORARU, ION I. · 2011 to 2013
$867k
NCRR NIH HHS U54 RR022232NCRR NIH HHS U54-RR022232NIGMS NIH HHS P41 GM103313NIGMS NIH HHS P41-GM103313NIGMS NIH HHS R01 GM095485NIGMS NIH HHS R01-GM095485
6 · The paper itself

Abstract

unlabelledPathway Commons is a resource permitting simultaneous queries of multiple pathway databases. However, there is no standard mechanism for using these data (stored in BioPAX format) to annotate and build quantitative mathematical models. Therefore, we developed a new module within the virtual cell modeling and simulation software. It provides pathway data retrieval and visualization and enables automatic creation of executable network models directly from qualitative connections between pathway nodes. AVAILABILITY AND IMPLEMENTATION: Available at Virtual Cell (http://vcell.org/). Application runs on all major platforms and does not require registration for use on the user’s computer. Tutorials and video are available at user guide page.

Indexed as

Cell Physiological PhenomenaDatabases, FactualGene Regulatory NetworksModels, TheoreticalSignal TransductionSoftwareComputational BiologyInformation Storage and Retrieval

Identifiers

PMID24273241
PMCPMC3892693

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.