Literature DB >> 18983726

Specifications of insilicoML 1.0: a multilevel biophysical model description language.

Yoshiyuki Asai1, Yasuyuki Suzuki, Yoshiyuki Kido, Hideki Oka, Eric Heien, Masao Nakanishi, Takahito Urai, Kenichi Hagihara, Yoshihisa Kurachi, Taishin Nomura.   

Abstract

An extensible markup language format, insilicoML (ISML), version 0.1, describing multi-level biophysical models has been developed and available in the public domain. ISML is fully compatible with CellML 1.0, a model description standard developed by the IUPS Physiome Project, for enhancing knowledge integration and model sharing. This article illustrates the new specifications of ISML 1.0 that largely extend the capability of ISML 0.1. ISML 1.0 can describe various types of mathematical models, including ordinary/partial differential/difference equations representing the dynamics of physiological functions and the geometry of living organisms underlying the functions. ISML 1.0 describes a model using a set of functional elements (modules) each of which can specify mathematical expressions of the functions. Structural and logical relationships between any two modules are specified by edges, which allow modular, hierarchical, and/or network representations of the model. The role of edge-relationships is enriched by key words in order for use in constructing a physiological ontology. The ontology is further improved by the traceability of history of the model's development and by linking between different ISML models stored in the model's database using meta-information. ISML 1.0 is designed to operate with a model database and integrated environments for model development and simulations for knowledge integration and discovery.

Mesh:

Year:  2008        PMID: 18983726     DOI: 10.2170/physiolsci.RP013308

Source DB:  PubMed          Journal:  J Physiol Sci        ISSN: 1880-6546            Impact factor:   2.781


  14 in total

Review 1.  Software for systems biology: from tools to integrated platforms.

Authors:  Samik Ghosh; Yukiko Matsuoka; Yoshiyuki Asai; Kun-Yi Hsin; Hiroaki Kitano
Journal:  Nat Rev Genet       Date:  2011-11-03       Impact factor: 53.242

2.  Cyber-workstation for computational neuroscience.

Authors:  Jack Digiovanna; Prapaporn Rattanatamrong; Ming Zhao; Babak Mahmoudi; Linda Hermer; Renato Figueiredo; Jose C Principe; Jose Fortes; Justin C Sanchez
Journal:  Front Neuroeng       Date:  2010-01-20

3.  Module-based multiscale simulation of angiogenesis in skeletal muscle.

Authors:  Gang Liu; Amina A Qutub; Prakash Vempati; Feilim Mac Gabhann; Aleksander S Popel
Journal:  Theor Biol Med Model       Date:  2011-04-04       Impact factor: 2.432

4.  Toward integration of biological and physiological functions at multiple levels.

Authors:  Taishin Nomura
Journal:  Front Physiol       Date:  2010-12-29       Impact factor: 4.566

5.  Current trends and new challenges of databases and web applications for systems driven biological research.

Authors:  Pradeep Kumar Sreenivasaiah; Do Han Kim
Journal:  Front Physiol       Date:  2010-12-03       Impact factor: 4.566

6.  The layer-oriented approach to declarative languages for biological modeling.

Authors:  Ivan Raikov; Erik De Schutter
Journal:  PLoS Comput Biol       Date:  2012-05-17       Impact factor: 4.475

7.  Program Code Generator for Cardiac Electrophysiology Simulation with Automatic PDE Boundary Condition Handling.

Authors:  Florencio Rusty Punzalan; Yoshitoshi Kunieda; Akira Amano
Journal:  PLoS One       Date:  2015-09-10       Impact factor: 3.240

8.  Dealing with diversity in computational cancer modeling.

Authors:  David Johnson; Steve McKeever; Georgios Stamatakos; Dimitra Dionysiou; Norbert Graf; Vangelis Sakkalis; Konstantinos Marias; Zhihui Wang; Thomas S Deisboeck
Journal:  Cancer Inform       Date:  2013-05-07

9.  Databases for multilevel biophysiology research available at Physiome.jp.

Authors:  Yoshiyuki Asai; Takeshi Abe; Li Li; Hideki Oka; Taishin Nomura; Hiroaki Kitano
Journal:  Front Physiol       Date:  2015-09-09       Impact factor: 4.566

10.  A CellML simulation compiler and code generator using ODE solving schemes.

Authors:  Florencio Rusty Punzalan; Yoshiharu Yamashita; Naoki Soejima; Masanari Kawabata; Takao Shimayoshi; Hiroaki Kuwabara; Yoshitoshi Kunieda; Akira Amano
Journal:  Source Code Biol Med       Date:  2012-10-19
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