Literature DB >> 21647530

Guidelines for visualizing and annotating rule-based models.

Lily A Chylek1, Bin Hu, Michael L Blinov, Thierry Emonet, James R Faeder, Byron Goldstein, Ryan N Gutenkunst, Jason M Haugh, Tomasz Lipniacki, Richard G Posner, Jin Yang, William S Hlavacek.   

Abstract

Rule-based modeling provides a means to represent cell signaling systems in a way that captures site-specific details of molecular interactions. For rule-based models to be more widely understood and (re)used, conventions for model visualization and annotation are needed. We have developed the concepts of an extended contact map and a model guide for illustrating and annotating rule-based models. An extended contact map represents the scope of a model by providing an illustration of each molecule, molecular component, direct physical interaction, post-translational modification, and enzyme-substrate relationship considered in a model. A map can also illustrate allosteric effects, structural relationships among molecular components, and compartmental locations of molecules. A model guide associates elements of a contact map with annotation and elements of an underlying model, which may be fully or partially specified. A guide can also serve to document the biological knowledge upon which a model is based. We provide examples of a map and guide for a published rule-based model that characterizes early events in IgE receptor (FcεRI) signaling. We also provide examples of how to visualize a variety of processes that are common in cell signaling systems but not considered in the example model, such as ubiquitination. An extended contact map and an associated guide can document knowledge of a cell signaling system in a form that is visual as well as executable. As a tool for model annotation, a map and guide can communicate the content of a model clearly and with precision, even for large models.

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Year:  2011        PMID: 21647530      PMCID: PMC3168731          DOI: 10.1039/c1mb05077j

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  86 in total

Review 1.  Assembly of cell regulatory systems through protein interaction domains.

Authors:  Tony Pawson; Piers Nash
Journal:  Science       Date:  2003-04-18       Impact factor: 47.728

2.  Balance between acetylation and methylation of histone H3 lysine 9 on the E2F-responsive dihydrofolate reductase promoter.

Authors:  Estelle Nicolas; Christine Roumillac; Didier Trouche
Journal:  Mol Cell Biol       Date:  2003-03       Impact factor: 4.272

Review 3.  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

4.  Investigation of early events in Fc epsilon RI-mediated signaling using a detailed mathematical model.

Authors:  James R Faeder; William S Hlavacek; Ilona Reischl; Michael L Blinov; Henry Metzger; Antonio Redondo; Carla Wofsy; Byron Goldstein
Journal:  J Immunol       Date:  2003-04-01       Impact factor: 5.422

5.  Structural origins of high-affinity biotin binding to streptavidin.

Authors:  P C Weber; D H Ohlendorf; J J Wendoloski; F R Salemme
Journal:  Science       Date:  1989-01-06       Impact factor: 47.728

Review 6.  Antigen and Fc receptor signaling. The awesome power of the immunoreceptor tyrosine-based activation motif (ITAM).

Authors:  J C Cambier
Journal:  J Immunol       Date:  1995-10-01       Impact factor: 5.422

7.  Normal and oncogenic p21ras proteins bind to the amino-terminal regulatory domain of c-Raf-1.

Authors:  X F Zhang; J Settleman; J M Kyriakis; E Takeuchi-Suzuki; S J Elledge; M S Marshall; J T Bruder; U R Rapp; J Avruch
Journal:  Nature       Date:  1993-07-22       Impact factor: 49.962

Review 8.  Human RAS superfamily proteins and related GTPases.

Authors:  John Colicelli
Journal:  Sci STKE       Date:  2004-09-07

Review 9.  An open-and-shut case? Recent insights into the activation of EGF/ErbB receptors.

Authors:  Antony W Burgess; Hyun-Soo Cho; Charles Eigenbrot; Kathryn M Ferguson; Thomas P J Garrett; Daniel J Leahy; Mark A Lemmon; Mark X Sliwkowski; Colin W Ward; Shigeyuki Yokoyama
Journal:  Mol Cell       Date:  2003-09       Impact factor: 17.970

10.  The interaction of IgE with rat basophilic leukemia cells. II. Quantitative aspects of the binding reaction.

Authors:  A Kulczycki; H Metzger
Journal:  J Exp Med       Date:  1974-12-01       Impact factor: 14.307

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  22 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.  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

5.  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

6.  Disease-enhancing antibodies improve the efficacy of bacterial toxin-neutralizing antibodies.

Authors:  Siu-Kei Chow; Cameron Smith; Thomas MacCarthy; Mary Ann Pohl; Aviv Bergman; Arturo Casadevall
Journal:  Cell Host Microbe       Date:  2013-04-17       Impact factor: 21.023

7.  Dissecting RAF Inhibitor Resistance by Structure-based Modeling Reveals Ways to Overcome Oncogenic RAS Signaling.

Authors:  Oleksii S Rukhlenko; Fahimeh Khorsand; Aleksandar Krstic; Jan Rozanc; Leonidas G Alexopoulos; Nora Rauch; Keesha E Erickson; William S Hlavacek; Richard G Posner; Silvia Gómez-Coca; Edina Rosta; Cheree Fitzgibbon; David Matallanas; Jens Rauch; Walter Kolch; Boris N Kholodenko
Journal:  Cell Syst       Date:  2018-07-11       Impact factor: 10.304

8.  A predictive mathematical model of the DNA damage G2 checkpoint.

Authors:  Kevin J Kesseler; Michael L Blinov; Timothy C Elston; William K Kaufmann; Dennis A Simpson
Journal:  J Theor Biol       Date:  2012-12-22       Impact factor: 2.691

9.  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

10.  Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling.

Authors:  Matthew S Creamer; Edward C Stites; Meraj Aziz; James A Cahill; Chin Wee Tan; Michael E Berens; Haiyong Han; Kimberley J Bussey; Daniel D Von Hoff; William S Hlavacek; Richard G Posner
Journal:  BMC Syst Biol       Date:  2012-08-22
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