Literature DB >> 23508970

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

Fengkai Zhang1, Bastian R Angermann, Martin Meier-Schellersheim.   

Abstract

MOTIVATION: Biochemical modeling efforts now frequently take advantage of the possibility to automatically create reaction networks based on the specification of pairwise molecular interactions. Even though a variety of tools exist to visualize the resulting networks, defining the rules for the molecular interactions typically requires writing scripts, which impacts the non-specialist accessibility of those approaches. We introduce the Simmune Modeler that allows users to specify molecular complexes and their interactions as well as the reaction-induced modifications of the molecules through a flexible visual interface. It can take into account the positions of the components of trans-membrane complexes relative to the embedding membranes as well as symmetry aspects affecting the reactions of multimeric molecular structures. Models created with this tool can be simulated using the Simmune Simulator or be exported as SBML code or as files describing the reaction networks as systems of ODEs for import into Matlab. AVAILABILITY: The Simmune Modeler and the associated simulators as well as extensive additional documentation and tutorials are freely available for Linux, Mac and Windows: http://go.usa.gov/QeH (Note shortened case-sensitive URL!).

Mesh:

Substances:

Year:  2013        PMID: 23508970      PMCID: PMC3634183          DOI: 10.1093/bioinformatics/btt134

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


  9 in total

Review 1.  The complexity of complexes in signal transduction.

Authors:  William S Hlavacek; James R Faeder; Michael L Blinov; Alan S Perelson; Byron Goldstein
Journal:  Biotechnol Bioeng       Date:  2003-12-30       Impact factor: 4.530

2.  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

3.  Automatic generation of cellular reaction networks with Moleculizer 1.0.

Authors:  Larry Lok; Roger Brent
Journal:  Nat Biotechnol       Date:  2005-01       Impact factor: 54.908

Review 4.  Rules for modeling signal-transduction systems.

Authors:  William S Hlavacek; James R Faeder; Michael L Blinov; Richard G Posner; Michael Hucka; Walter Fontana
Journal:  Sci STKE       Date:  2006-07-18

5.  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

6.  RuleBender: a visual interface for rule-based modeling.

Authors:  Wen Xu; Adam M Smith; James R Faeder; G Elisabeta Marai
Journal:  Bioinformatics       Date:  2011-04-14       Impact factor: 6.937

7.  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

8.  Computational modeling of cellular signaling processes embedded into dynamic spatial contexts.

Authors:  Bastian R Angermann; Frederick Klauschen; Alex D Garcia; Thorsten Prustel; Fengkai Zhang; Ronald N Germain; Martin Meier-Schellersheim
Journal:  Nat Methods       Date:  2012-01-29       Impact factor: 28.547

9.  Key role of local regulation in chemosensing revealed by a new molecular interaction-based modeling method.

Authors:  Martin Meier-Schellersheim; Xuehua Xu; Bastian Angermann; Eric J Kunkel; Tian Jin; Ronald N Germain
Journal:  PLoS Comput Biol       Date:  2006-05-25       Impact factor: 4.475

  9 in total
  21 in total

Review 1.  Modeling the T cell immune response: a fascinating challenge.

Authors:  Penelope A Morel; James R Faeder; William F Hawse; Natasa Miskov-Zivanov
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-08-26       Impact factor: 2.745

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.  Targeted Proteomics-Driven Computational Modeling of Macrophage S1P Chemosensing.

Authors:  Nathan P Manes; Bastian R Angermann; Marijke Koppenol-Raab; Eunkyung An; Virginie H Sjoelund; Jing Sun; Masaru Ishii; Ronald N Germain; Martin Meier-Schellersheim; Aleksandra Nita-Lazar
Journal:  Mol Cell Proteomics       Date:  2015-07-21       Impact factor: 5.911

5.  Compartmental and Spatial Rule-Based Modeling with Virtual Cell.

Authors:  Michael L Blinov; James C Schaff; Dan Vasilescu; Ion I Moraru; Judy E Bloom; Leslie M Loew
Journal:  Biophys J       Date:  2017-10-03       Impact factor: 4.033

6.  Quantifying the roles of space and stochasticity in computer simulations for cell biology and cellular biochemistry.

Authors:  M E Johnson; A Chen; J R Faeder; P Henning; I I Moraru; M Meier-Schellersheim; R F Murphy; T Prüstel; J A Theriot; A M Uhrmacher
Journal:  Mol Biol Cell       Date:  2020-11-25       Impact factor: 4.138

7.  Anosmin1 Shuttles Fgf to Facilitate Its Diffusion, Increase Its Local Concentration, and Induce Sensory Organs.

Authors:  John Wang; Yandong Yin; Stephanie Lau; Jagadish Sankaran; Eli Rothenberg; Thorsten Wohland; Martin Meier-Schellersheim; Holger Knaut
Journal:  Dev Cell       Date:  2018-08-16       Impact factor: 12.270

8.  Evaluation of Parallel Tempering to Accelerate Bayesian Parameter Estimation in Systems Biology.

Authors:  Sanjana Gupta; Liam Hainsworth; Justin S Hogg; Robin E C Lee; James R Faeder
Journal:  Proc Euromicro Int Conf Parallel Distrib Netw Based Process       Date:  2018-06-07

9.  The Beacon Calculus: A formal method for the flexible and concise modelling of biological systems.

Authors:  Michael A Boemo; Luca Cardelli; Conrad A Nieduszynski
Journal:  PLoS Comput Biol       Date:  2020-03-09       Impact factor: 4.475

Review 10.  Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  J Proteomics       Date:  2018-02-13       Impact factor: 4.044

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