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The Input Signal Step Function (ISSF), a Standard Method to Encode Input Signals in SBML Models with Software Support, Applied to Circadian Clock Models

Time-dependent light input is an important feature of computational models of the circadian clock. However, publicly available models encoded in standard representations such as the Systems Biology Markup Language (SBML) either do not encode this input or use different mechanisms to do so, which hin...

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Detalles Bibliográficos
Autores principales: Adams, R.R., Tsorman, N., Stratford, K., Akman, O.E., Gilmore, S., Juty, N., Le Novère, N., Millar, A.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3423168/
https://www.ncbi.nlm.nih.gov/pubmed/22855577
http://dx.doi.org/10.1177/0748730412451077
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author Adams, R.R.
Tsorman, N.
Stratford, K.
Akman, O.E.
Gilmore, S.
Juty, N.
Le Novère, N.
Millar, A.J.
Millar, A.J.
author_facet Adams, R.R.
Tsorman, N.
Stratford, K.
Akman, O.E.
Gilmore, S.
Juty, N.
Le Novère, N.
Millar, A.J.
Millar, A.J.
author_sort Adams, R.R.
collection PubMed
description Time-dependent light input is an important feature of computational models of the circadian clock. However, publicly available models encoded in standard representations such as the Systems Biology Markup Language (SBML) either do not encode this input or use different mechanisms to do so, which hinders reproducibility of published results as well as model reuse. The authors describe here a numerically continuous function suitable for use in SBML for models of circadian rhythms forced by periodic light-dark cycles. The Input Signal Step Function (ISSF) is broadly applicable to encoding experimental manipulations, such as drug treatments, temperature changes, or inducible transgene expression, which may be transient, periodic, or mixed. It is highly configurable and is able to reproduce a wide range of waveforms. The authors have implemented this function in SBML and demonstrated its ability to modify the behavior of publicly available models to accurately reproduce published results. The implementation of ISSF allows standard simulation software to reproduce specialized circadian protocols, such as the phase-response curve. To facilitate the reuse of this function in public models, the authors have developed software to configure its behavior without any specialist knowledge of SBML. A community-standard approach to represent the inputs that entrain circadian clock models could particularly facilitate research in chronobiology.
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spelling pubmed-34231682012-09-06 The Input Signal Step Function (ISSF), a Standard Method to Encode Input Signals in SBML Models with Software Support, Applied to Circadian Clock Models Adams, R.R. Tsorman, N. Stratford, K. Akman, O.E. Gilmore, S. Juty, N. Le Novère, N. Millar, A.J. Millar, A.J. J Biol Rhythms Letters Time-dependent light input is an important feature of computational models of the circadian clock. However, publicly available models encoded in standard representations such as the Systems Biology Markup Language (SBML) either do not encode this input or use different mechanisms to do so, which hinders reproducibility of published results as well as model reuse. The authors describe here a numerically continuous function suitable for use in SBML for models of circadian rhythms forced by periodic light-dark cycles. The Input Signal Step Function (ISSF) is broadly applicable to encoding experimental manipulations, such as drug treatments, temperature changes, or inducible transgene expression, which may be transient, periodic, or mixed. It is highly configurable and is able to reproduce a wide range of waveforms. The authors have implemented this function in SBML and demonstrated its ability to modify the behavior of publicly available models to accurately reproduce published results. The implementation of ISSF allows standard simulation software to reproduce specialized circadian protocols, such as the phase-response curve. To facilitate the reuse of this function in public models, the authors have developed software to configure its behavior without any specialist knowledge of SBML. A community-standard approach to represent the inputs that entrain circadian clock models could particularly facilitate research in chronobiology. SAGE Publications 2012-08 /pmc/articles/PMC3423168/ /pubmed/22855577 http://dx.doi.org/10.1177/0748730412451077 Text en © 2012 The Author(s) http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letters
Adams, R.R.
Tsorman, N.
Stratford, K.
Akman, O.E.
Gilmore, S.
Juty, N.
Le Novère, N.
Millar, A.J.
Millar, A.J.
The Input Signal Step Function (ISSF), a Standard Method to Encode Input Signals in SBML Models with Software Support, Applied to Circadian Clock Models
title The Input Signal Step Function (ISSF), a Standard Method to Encode Input Signals in SBML Models with Software Support, Applied to Circadian Clock Models
title_full The Input Signal Step Function (ISSF), a Standard Method to Encode Input Signals in SBML Models with Software Support, Applied to Circadian Clock Models
title_fullStr The Input Signal Step Function (ISSF), a Standard Method to Encode Input Signals in SBML Models with Software Support, Applied to Circadian Clock Models
title_full_unstemmed The Input Signal Step Function (ISSF), a Standard Method to Encode Input Signals in SBML Models with Software Support, Applied to Circadian Clock Models
title_short The Input Signal Step Function (ISSF), a Standard Method to Encode Input Signals in SBML Models with Software Support, Applied to Circadian Clock Models
title_sort input signal step function (issf), a standard method to encode input signals in sbml models with software support, applied to circadian clock models
topic Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3423168/
https://www.ncbi.nlm.nih.gov/pubmed/22855577
http://dx.doi.org/10.1177/0748730412451077
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