Predicting growth of the healthy infant using a genome scale metabolic model

Systems biology: Feeding breast milk to a computer model of a baby A research group headed by Prof. Jens Nielsen from Chalmers University of Technology built a computer model of a newborn baby (0–6 months). The computer model simulated a baby’s metabolism of breastmilk, predicting growth in weight,...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Avlant Nilsson, Adil Mardinoglu, Jens Nielsen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/2fb10b3c40cc4a5ca8f170d8001c95c7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:2fb10b3c40cc4a5ca8f170d8001c95c7
record_format	dspace
spelling	oai:doaj.org-article:2fb10b3c40cc4a5ca8f170d8001c95c72021-12-02T11:42:12ZPredicting growth of the healthy infant using a genome scale metabolic model10.1038/s41540-017-0004-52056-7189https://doaj.org/article/2fb10b3c40cc4a5ca8f170d8001c95c72017-01-01T00:00:00Zhttps://doi.org/10.1038/s41540-017-0004-5https://doaj.org/toc/2056-7189Systems biology: Feeding breast milk to a computer model of a baby A research group headed by Prof. Jens Nielsen from Chalmers University of Technology built a computer model of a newborn baby (0–6 months). The computer model simulated a baby’s metabolism of breastmilk, predicting growth in weight, fat and height. An optimization algorithm was used to identify the best flow of nutrients through the metabolic network, from milk to biomass. The researchers used the model to determine if the availability of any nutrient limits growth, e.g., essential amino acids. They found that all nutrients are available with good margin and that growth is limited by the production and consumption of energy. The model may be useful to better understand how malnutrition leads to stunted growth, which affects 165 million children worldwide. Additionally it represents a major advancement toward a complete computer model of the living human.Avlant NilssonAdil MardinogluJens NielsenNature PortfolioarticleBiology (General)QH301-705.5ENnpj Systems Biology and Applications, Vol 3, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Avlant Nilsson Adil Mardinoglu Jens Nielsen Predicting growth of the healthy infant using a genome scale metabolic model
description	Systems biology: Feeding breast milk to a computer model of a baby A research group headed by Prof. Jens Nielsen from Chalmers University of Technology built a computer model of a newborn baby (0–6 months). The computer model simulated a baby’s metabolism of breastmilk, predicting growth in weight, fat and height. An optimization algorithm was used to identify the best flow of nutrients through the metabolic network, from milk to biomass. The researchers used the model to determine if the availability of any nutrient limits growth, e.g., essential amino acids. They found that all nutrients are available with good margin and that growth is limited by the production and consumption of energy. The model may be useful to better understand how malnutrition leads to stunted growth, which affects 165 million children worldwide. Additionally it represents a major advancement toward a complete computer model of the living human.
format	article
author	Avlant Nilsson Adil Mardinoglu Jens Nielsen
author_facet	Avlant Nilsson Adil Mardinoglu Jens Nielsen
author_sort	Avlant Nilsson
title	Predicting growth of the healthy infant using a genome scale metabolic model
title_short	Predicting growth of the healthy infant using a genome scale metabolic model
title_full	Predicting growth of the healthy infant using a genome scale metabolic model
title_fullStr	Predicting growth of the healthy infant using a genome scale metabolic model
title_full_unstemmed	Predicting growth of the healthy infant using a genome scale metabolic model
title_sort	predicting growth of the healthy infant using a genome scale metabolic model
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/2fb10b3c40cc4a5ca8f170d8001c95c7
work_keys_str_mv	AT avlantnilsson predictinggrowthofthehealthyinfantusingagenomescalemetabolicmodel AT adilmardinoglu predictinggrowthofthehealthyinfantusingagenomescalemetabolicmodel AT jensnielsen predictinggrowthofthehealthyinfantusingagenomescalemetabolicmodel
_version_	1718395332479418368

Predicting growth of the healthy infant using a genome scale metabolic model

Ejemplares similares