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Integrating Omics D...
Integrating Omics Data in Genome-Scale Metabolic Modeling : A Methodological Perspective for Precision Medicine
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- Sen, Partho, 1983- (författare)
- Örebro universitet,Institutionen för medicinska vetenskaper,Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
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- Oresic, Matej, 1967- (författare)
- Örebro universitet,Institutionen för medicinska vetenskaper,Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
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(creator_code:org_t)
- MDPI, 2023
- 2023
- Engelska.
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Ingår i: Metabolites. - : MDPI. - 2218-1989 .- 2218-1989. ; 13:7
- Relaterad länk:
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https://doi.org/10.3...
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- Recent advancements in omics technologies have generated a wealth of biological data. Integrating these data within mathematical models is essential to fully leverage their potential. Genome-scale metabolic models (GEMs) provide a robust framework for studying complex biological systems. GEMs have significantly contributed to our understanding of human metabolism, including the intrinsic relationship between the gut microbiome and the host metabolism. In this review, we highlight the contributions of GEMs and discuss the critical challenges that must be overcome to ensure their reproducibility and enhance their prediction accuracy, particularly in the context of precision medicine. We also explore the role of machine learning in addressing these challenges within GEMs. The integration of omics data with GEMs has the potential to lead to new insights, and to advance our understanding of molecular mechanisms in human health and disease.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Nyckelord
- Constraint-based modeling
- host microbiome
- human metabolic networks
- human metabolism
- metabolic modeling
- metabolic reconstructions
- multi-omics
Publikations- och innehållstyp
- ref (ämneskategori)
- for (ämneskategori)
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