Literature DB >> 15142756

CellML: its future, present and past.

Catherine M Lloyd1, Matt D B Halstead, Poul F Nielsen.   

Abstract

Advances in biotechnology and experimental techniques have lead to the elucidation of vast amounts of biological data. Mathematical models provide a method of analysing this data; however, there are two issues that need to be addressed: (1) the need for standards for defining cell models so they can, for example, be exchanged across the World Wide Web, and also read into simulation software in a consistent format and (2) eliminating the errors which arise with the current method of model publication. CellML has evolved to meet these needs of the modelling community. CellML is a free, open-source, eXtensible markup language based standard for defining mathematical models of cellular function. In this paper we summarise the structure of CellML, its current applications (including biological pathway and electrophysiological models), and its future development--in particular, the development of toolsets and the integration of ontologies. Copyright 2004 Elsevier Ltd.

Mesh:

Year:  2004        PMID: 15142756     DOI: 10.1016/j.pbiomolbio.2004.01.004

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  133 in total

Review 1.  Systems immunology: a survey of modeling formalisms, applications and simulation tools.

Authors:  Vipin Narang; James Decraene; Shek-Yoon Wong; Bindu S Aiswarya; Andrew R Wasem; Shiang Rong Leong; Alexandre Gouaillard
Journal:  Immunol Res       Date:  2012-09       Impact factor: 2.829

Review 2.  Using views of Systems Biology Cloud: application for model building.

Authors:  Oliver Ruebenacker; Michael Blinov
Journal:  Theory Biosci       Date:  2010-08-21       Impact factor: 1.919

Review 3.  Multiscale modeling of gastrointestinal electrophysiology and experimental validation.

Authors:  Peng Du; Greg O'Grady; John B Davidson; Leo K Cheng; Andrew J Pullan
Journal:  Crit Rev Biomed Eng       Date:  2010

4.  Kinetic Modeling using BioPAX ontology.

Authors:  Oliver Ruebenacker; Ion I Moraru; James C Schaff; Michael L Blinov
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2007-11-02

Review 5.  Computer modelling of the sinoatrial node.

Authors:  Ronald Wilders
Journal:  Med Biol Eng Comput       Date:  2007-02       Impact factor: 2.602

Review 6.  Cytoview: development of a cell modelling framework.

Authors:  Prashant Khodade; Samta Malhotra; Nirmal Kumar; M Sriram Iyengar; N Balakrishnan; Nagasuma Chandra
Journal:  J Biosci       Date:  2007-08       Impact factor: 1.826

7.  Formal TCA cycle description based on elementary actions.

Authors:  Pierre Maziere; Nicolas Parisey; Marie Beurton-Aimar; Franck Molina
Journal:  J Biosci       Date:  2007-01       Impact factor: 1.826

8.  Modeling hypertrophic IP3 transients in the cardiac myocyte.

Authors:  Michael Cooling; Peter Hunter; Edmund J Crampin
Journal:  Biophys J       Date:  2007-08-10       Impact factor: 4.033

Review 9.  Network integration and graph analysis in mammalian molecular systems biology.

Authors:  A Ma'ayan
Journal:  IET Syst Biol       Date:  2008-09       Impact factor: 1.615

10.  Systems biology of embryogenesis.

Authors:  Lucas B Edelman; Sriram Chandrasekaran; Nathan D Price
Journal:  Reprod Fertil Dev       Date:  2010       Impact factor: 2.311

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