Nutritional systems biology modeling: from molecular mechanisms to physiology.

The use of computational modeling and simulation has increased in many biological fields, but despite their potential these techniques are only marginally applied in nutritional sciences. Nevertheless, recent applications of modeling have been instrumental in answering important nutritional question...

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Autores principales:	Albert A de Graaf, Andreas P Freidig, Baukje De Roos, Neema Jamshidi, Matthias Heinemann, Johan A C Rullmann, Kevin D Hall, Martin Adiels, Ben van Ommen
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/9c80ef7ce05846688fd51446f84df4ac
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spelling	oai:doaj.org-article:9c80ef7ce05846688fd51446f84df4ac2021-11-25T05:42:50ZNutritional systems biology modeling: from molecular mechanisms to physiology.1553-734X1553-735810.1371/journal.pcbi.1000554https://doaj.org/article/9c80ef7ce05846688fd51446f84df4ac2009-11-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19956660/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358The use of computational modeling and simulation has increased in many biological fields, but despite their potential these techniques are only marginally applied in nutritional sciences. Nevertheless, recent applications of modeling have been instrumental in answering important nutritional questions from the cellular up to the physiological levels. Capturing the complexity of today's important nutritional research questions poses a challenge for modeling to become truly integrative in the consideration and interpretation of experimental data at widely differing scales of space and time. In this review, we discuss a selection of available modeling approaches and applications relevant for nutrition. We then put these models into perspective by categorizing them according to their space and time domain. Through this categorization process, we identified a dearth of models that consider processes occurring between the microscopic and macroscopic scale. We propose a "middle-out" strategy to develop the required full-scale, multilevel computational models. Exhaustive and accurate phenotyping, the use of the virtual patient concept, and the development of biomarkers from "-omics" signatures are identified as key elements of a successful systems biology modeling approach in nutrition research--one that integrates physiological mechanisms and data at multiple space and time scales.Albert A de GraafAndreas P FreidigBaukje De RoosNeema JamshidiMatthias HeinemannJohan A C RullmannKevin D HallMartin AdielsBen van OmmenPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 5, Iss 11, p e1000554 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Albert A de Graaf Andreas P Freidig Baukje De Roos Neema Jamshidi Matthias Heinemann Johan A C Rullmann Kevin D Hall Martin Adiels Ben van Ommen Nutritional systems biology modeling: from molecular mechanisms to physiology.
description	The use of computational modeling and simulation has increased in many biological fields, but despite their potential these techniques are only marginally applied in nutritional sciences. Nevertheless, recent applications of modeling have been instrumental in answering important nutritional questions from the cellular up to the physiological levels. Capturing the complexity of today's important nutritional research questions poses a challenge for modeling to become truly integrative in the consideration and interpretation of experimental data at widely differing scales of space and time. In this review, we discuss a selection of available modeling approaches and applications relevant for nutrition. We then put these models into perspective by categorizing them according to their space and time domain. Through this categorization process, we identified a dearth of models that consider processes occurring between the microscopic and macroscopic scale. We propose a "middle-out" strategy to develop the required full-scale, multilevel computational models. Exhaustive and accurate phenotyping, the use of the virtual patient concept, and the development of biomarkers from "-omics" signatures are identified as key elements of a successful systems biology modeling approach in nutrition research--one that integrates physiological mechanisms and data at multiple space and time scales.
format	article
author	Albert A de Graaf Andreas P Freidig Baukje De Roos Neema Jamshidi Matthias Heinemann Johan A C Rullmann Kevin D Hall Martin Adiels Ben van Ommen
author_facet	Albert A de Graaf Andreas P Freidig Baukje De Roos Neema Jamshidi Matthias Heinemann Johan A C Rullmann Kevin D Hall Martin Adiels Ben van Ommen
author_sort	Albert A de Graaf
title	Nutritional systems biology modeling: from molecular mechanisms to physiology.
title_short	Nutritional systems biology modeling: from molecular mechanisms to physiology.
title_full	Nutritional systems biology modeling: from molecular mechanisms to physiology.
title_fullStr	Nutritional systems biology modeling: from molecular mechanisms to physiology.
title_full_unstemmed	Nutritional systems biology modeling: from molecular mechanisms to physiology.
title_sort	nutritional systems biology modeling: from molecular mechanisms to physiology.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/9c80ef7ce05846688fd51446f84df4ac
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Nutritional systems biology modeling: from molecular mechanisms to physiology.

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