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Dan Vasilescu

dblp:140/3352 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology
rule-based modeling
0.212016
Rule-based modeling with Virtual Cell · Bioinform. 2016
Bioinformatics and computational biology
systems biology
0.212016
Rule-based modeling with Virtual Cell · Bioinform. 2016
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
pathway data integration
0.212014
Pathway Commons at Virtual Cell: use of pathway data for mathematical modeling · Bioinform. 2014
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
pathway visualization
0.212014
Pathway Commons at Virtual Cell: use of pathway data for mathematical modeling · Bioinform. 2014
Bioinformatics and computational biology › systems bioinformatics
biological simulation
0.112016
Rule-based modeling with Virtual Cell · Bioinform. 2016

Methods — techniques the papers use, named apart from their topics

bionetgen · 0.2ODE solver · 0.2NFSim · 0.2model generation · 0.2BioPAX · 0.2
YearPublicationVenuePosition
2016 Rule-based modeling with Virtual Cell
abstract
UNLABELLED: Rule-based modeling is invaluable when the number of possible species and reactions in a model become too large to allow convenient manual specification. The popular rule-based software tools BioNetGen and NFSim provide powerful modeling and simulation capabilities at the cost of learning a complex scripting language which is used to specify these models. Here, we introduce a modeling tool that combines new graphical rule-based model specification with existing simulation engines in a seamless way within the familiar Virtual Cell (VCell) modeling environment. A mathematical model can be built integrating explicit reaction networks with reaction rules. In addition to offering a large choice of ODE and stochastic solvers, a model can be simulated using a network free approach through the NFSim simulation engine. AVAILABILITY AND IMPLEMENTATION: Available as VCell (versions 6.0 and later) at the Virtual Cell web site (http://vcell.org/). The application installs and runs on all major platforms and does not require registration for use on the user's computer. Tutorials are available at the Virtual Cell website and Help is provided within the software. Source code is available at Sourceforge. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
James C. Schaff, Dan Vasilescu, Ion I. Moraru, Leslie M. Loew, Michael L. Blinov
Bioinform.2
2014 Pathway Commons at Virtual Cell: use of pathway data for mathematical modeling
abstract
UNLABELLED: Pathway 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.
Michael L. Blinov, James C. Schaff, Oliver Ruebenacker, Xintao Wei, Dan Vasilescu, Frank Morgan, Anuradha Lakshminarayana, Ion I. Moraru, Leslie M. Loew
Bioinform.5