2008
DOI: 10.1016/j.copbio.2008.02.009
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Towards a systems level analysis of health and nutrition

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Cited by 21 publications
(13 citation statements)
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“…Furthermore, more applied research fields benefit from SB tools and strategies. Examples can be found in the fields of nutrition and health (Naylor et al 2008), drug discovery (Sakata and Winzeler 2007;Tan et al 2007;Strong and Eisenberg 2007), medicine (Lemberger 2007;Smithies 2005;Winzeler 2006;Xiong et al 2005), research on cancer (Ao et al 2008;Benvenuti et al 2005;Cui et al 2007) and on schizophrenia (Middleton et al 2007). …”
Section: Applying Modelling Practices To Other Organisms and Disciplinesmentioning
confidence: 98%
“…Furthermore, more applied research fields benefit from SB tools and strategies. Examples can be found in the fields of nutrition and health (Naylor et al 2008), drug discovery (Sakata and Winzeler 2007;Tan et al 2007;Strong and Eisenberg 2007), medicine (Lemberger 2007;Smithies 2005;Winzeler 2006;Xiong et al 2005), research on cancer (Ao et al 2008;Benvenuti et al 2005;Cui et al 2007) and on schizophrenia (Middleton et al 2007). …”
Section: Applying Modelling Practices To Other Organisms and Disciplinesmentioning
confidence: 98%
“…This is the reason for complaints about the resulting knowledge fragmentation [61,62]. The problem shall be solved with (i) the help of holism [61], (ii) nutritional system biology [63] and (iii) with the aim of evolutionary medicine [62,[64][65][66][67][68].…”
Section: Nutritional Science -Scientific Status Quomentioning
confidence: 99%
“…Computational analysis of biological processes, using information technology (IT), might play a key role in the advent of personalized medicine [66]. In particular, we observe the following specific contributions of IT to tailored therapy: (i) the ability to integrate genomic, molecular, and epigenetic data about each individual patient in a unified framework, (ii) the capability to effectively analyze this information using complex queries and data mining methods, and (iii) to apply computational procedures that predict the patient's response to treatment based on his or her genomic make-up, epigenetic tendencies, and environmental data.…”
Section: Data Integration and The Computational Analysis Of Biologicamentioning
confidence: 99%