Literature DB >> 21493655

RuleBender: a visual interface for rule-based modeling.

Wen Xu1, Adam M Smith, James R Faeder, G Elisabeta Marai.   

Abstract

SUMMARY: Rule-based modeling (RBM) is a powerful and increasingly popular approach to modeling intracellular biochemistry. Current interfaces for RBM are predominantly text-based and command-line driven. Better visual tools are needed to make RBM accessible to a broad range of users, to make specification of models less error prone and to improve workflows. We present RULEBENDER, an open-source visual interface that facilitates interactive debugging, simulation and analysis of RBMs. AVAILABILITY: RULEBENDER is freely available for Mac, Windows and Linux at http://rulebender.org.

Mesh:

Year:  2011        PMID: 21493655      PMCID: PMC3106190          DOI: 10.1093/bioinformatics/btr197

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Efficient modeling, simulation and coarse-graining of biological complexity with NFsim.

Authors:  Michael W Sneddon; James R Faeder; Thierry Emonet
Journal:  Nat Methods       Date:  2010-12-26       Impact factor: 28.547

2.  Rule-based modeling of biochemical systems with BioNetGen.

Authors:  James R Faeder; Michael L Blinov; William S Hlavacek
Journal:  Methods Mol Biol       Date:  2009

3.  Internal coarse-graining of molecular systems.

Authors:  Jérôme Feret; Vincent Danos; Jean Krivine; Russ Harmer; Walter Fontana
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-03       Impact factor: 11.205

4.  Bubble sets: revealing set relations with isocontours over existing visualizations.

Authors:  Christopher Collins; Gerald Penn; Sheelagh Carpendale
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

5.  RuleMonkey: software for stochastic simulation of rule-based models.

Authors:  Joshua Colvin; Michael I Monine; Ryan N Gutenkunst; William S Hlavacek; Daniel D Von Hoff; Richard G Posner
Journal:  BMC Bioinformatics       Date:  2010-07-30       Impact factor: 3.169

  5 in total
  17 in total

1.  Leveraging modeling approaches: reaction networks and rules.

Authors:  Michael L Blinov; Ion I Moraru
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

Review 2.  Modeling for (physical) biologists: an introduction to the rule-based approach.

Authors:  Lily A Chylek; Leonard A Harris; James R Faeder; William S Hlavacek
Journal:  Phys Biol       Date:  2015-07-16       Impact factor: 2.583

Review 3.  Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.

Authors:  Lily A Chylek; Leonard A Harris; Chang-Shung Tung; James R Faeder; Carlos F Lopez; William S Hlavacek
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-09-30

4.  The Simmune Modeler visual interface for creating signaling networks based on bi-molecular interactions.

Authors:  Fengkai Zhang; Bastian R Angermann; Martin Meier-Schellersheim
Journal:  Bioinformatics       Date:  2013-03-17       Impact factor: 6.937

5.  BioNetGen 2.2: advances in rule-based modeling.

Authors:  Leonard A Harris; Justin S Hogg; José-Juan Tapia; John A P Sekar; Sanjana Gupta; Ilya Korsunsky; Arshi Arora; Dipak Barua; Robert P Sheehan; James R Faeder
Journal:  Bioinformatics       Date:  2016-07-08       Impact factor: 6.937

6.  Modeling heterogeneous tumor growth dynamics and cell-cell interactions at single-cell and cell-population resolution.

Authors:  Leonard A Harris; Samantha Beik; Patricia M M Ozawa; Lizandra Jimenez; Alissa M Weaver
Journal:  Curr Opin Syst Biol       Date:  2019-09-16

Review 7.  Quantitative computational models of molecular self-assembly in systems biology.

Authors:  Marcus Thomas; Russell Schwartz
Journal:  Phys Biol       Date:  2017-05-23       Impact factor: 2.583

8.  A computational model for early events in B cell antigen receptor signaling: analysis of the roles of Lyn and Fyn.

Authors:  Dipak Barua; William S Hlavacek; Tomasz Lipniacki
Journal:  J Immunol       Date:  2012-06-18       Impact factor: 5.422

9.  Activity-Centered Domain Characterization for Problem-Driven Scientific Visualization.

Authors:  G Elisabeta Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2017-08-29       Impact factor: 4.579

10.  Computational analysis of an autophagy/translation switch based on mutual inhibition of MTORC1 and ULK1.

Authors:  Paulina Szymańska; Katie R Martin; Jeffrey P MacKeigan; William S Hlavacek; Tomasz Lipniacki
Journal:  PLoS One       Date:  2015-03-11       Impact factor: 3.240

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