Literature DB >> 27402907

BioNetGen 2.2: advances in rule-based modeling.

Leonard A Harris1, Justin S Hogg1, José-Juan Tapia1, John A P Sekar1, Sanjana Gupta1, Ilya Korsunsky1, Arshi Arora1, Dipak Barua1, Robert P Sheehan1, James R Faeder1.   

Abstract

: BioNetGen is an open-source software package for rule-based modeling of complex biochemical systems. Version 2.2 of the software introduces numerous new features for both model specification and simulation. Here, we report on these additions, discussing how they facilitate the construction, simulation and analysis of larger and more complex models than previously possible.
AVAILABILITY AND IMPLEMENTATION: Stable BioNetGen releases (Linux, Mac OS/X and Windows), with documentation, are available at http://bionetgen.org Source code is available at http://github.com/RuleWorld/bionetgen CONTACT: bionetgen.help@gmail.comSupplementary information: Supplementary data are available at Bioinformatics online.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2016        PMID: 27402907      PMCID: PMC5079481          DOI: 10.1093/bioinformatics/btw469

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


  21 in total

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Review 2.  Parallel tempering: theory, applications, and new perspectives.

Authors:  David J Earl; Michael W Deem
Journal:  Phys Chem Chem Phys       Date:  2005-12-07       Impact factor: 3.676

Review 3.  Modeling for (physical) biologists: an introduction to the rule-based approach.

Authors:  Lily A Chylek; Leonard A Harris; James R Faeder; William S Hlavacek
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Review 4.  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

5.  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

6.  In silico model-based inference: a contemporary approach for hypothesis testing in network biology.

Authors:  David J Klinke
Journal:  Biotechnol Prog       Date:  2014-08-26

7.  Annotation of rule-based models with formal semantics to enable creation, analysis, reuse and visualization.

Authors:  Goksel Misirli; Matteo Cavaliere; William Waites; Matthew Pocock; Curtis Madsen; Owen Gilfellon; Ricardo Honorato-Zimmer; Paolo Zuliani; Vincent Danos; Anil Wipat
Journal:  Bioinformatics       Date:  2015-11-11       Impact factor: 6.937

8.  FAST MONTE CARLO SIMULATION METHODS FOR BIOLOGICAL REACTION-DIFFUSION SYSTEMS IN SOLUTION AND ON SURFACES.

Authors:  Rex A Kerr; Thomas M Bartol; Boris Kaminsky; Markus Dittrich; Jen-Chien Jack Chang; Scott B Baden; Terrence J Sejnowski; Joel R Stiles
Journal:  SIAM J Sci Comput       Date:  2008-10-13       Impact factor: 2.373

9.  MOSBIE: a tool for comparison and analysis of rule-based biochemical models.

Authors:  John E Wenskovitch; Leonard A Harris; Jose-Juan Tapia; James R Faeder; G Elisabeta Marai
Journal:  BMC Bioinformatics       Date:  2014-09-25       Impact factor: 3.169

10.  Exact hybrid particle/population simulation of rule-based models of biochemical systems.

Authors:  Justin S Hogg; Leonard A Harris; Lori J Stover; Niketh S Nair; James R Faeder
Journal:  PLoS Comput Biol       Date:  2014-04-03       Impact factor: 4.475

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  64 in total

1.  Parameter Estimation and Uncertainty Quantification for Systems Biology Models.

Authors:  Eshan D Mitra; William S Hlavacek
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Journal:  Comput Methods Programs Biomed       Date:  2018-10-10       Impact factor: 5.428

3.  Using Equation-Free Computation to Accelerate Network-Free Stochastic Simulation of Chemical Kinetics.

Authors:  Yen Ting Lin; Lily A Chylek; Nathan W Lemons; William S Hlavacek
Journal:  J Phys Chem B       Date:  2018-06-08       Impact factor: 2.991

4.  Scaling methods for accelerating kinetic Monte Carlo simulations of chemical reaction networks.

Authors:  Yen Ting Lin; Song Feng; William S Hlavacek
Journal:  J Chem Phys       Date:  2019-06-28       Impact factor: 3.488

5.  Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning.

Authors:  Fredrik Wrede; Andreas Hellander
Journal:  Bioinformatics       Date:  2019-12-15       Impact factor: 6.937

6.  Representing dynamic biological networks with multi-scale probabilistic models.

Authors:  Alexander Groß; Barbara Kracher; Johann M Kraus; Silke D Kühlwein; Astrid S Pfister; Sebastian Wiese; Katrin Luckert; Oliver Pötz; Thomas Joos; Dries Van Daele; Luc De Raedt; Michael Kühl; Hans A Kestler
Journal:  Commun Biol       Date:  2019-01-17

7.  Minimum-noise production of translation factor eIF4G maps to a mechanistically determined optimal rate control window for protein synthesis.

Authors:  Xiang Meng; Helena Firczuk; Paola Pietroni; Richard Westbrook; Estelle Dacheux; Pedro Mendes; John E G McCarthy
Journal:  Nucleic Acids Res       Date:  2016-12-07       Impact factor: 16.971

8.  BpForms and BcForms: a toolkit for concretely describing non-canonical polymers and complexes to facilitate global biochemical networks.

Authors:  Paul F Lang; Yassmine Chebaro; Xiaoyue Zheng; John A P Sekar; Bilal Shaikh; Darren A Natale; Jonathan R Karr
Journal:  Genome Biol       Date:  2020-05-18       Impact factor: 13.583

9.  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

10.  An in vitro model of tumor heterogeneity resolves genetic, epigenetic, and stochastic sources of cell state variability.

Authors:  Corey E Hayford; Darren R Tyson; C Jack Robbins; Peter L Frick; Vito Quaranta; Leonard A Harris
Journal:  PLoS Biol       Date:  2021-06-01       Impact factor: 8.029

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