Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 991-999 |
| Number of pages | 9 |
| Journal | Biochimica et Biophysica Acta: Molecular and Cell Biology of Lipids |
| Volume | 1811 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2011 |
| MoE publication type | A2 Review article in a scientific journal |
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Keywords
- Allostasis
- lipidomics
- metabolomics
- molecular dynamics
- system biology
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Informatics and computational strategies for the study of lipids. / Orešič, Matej.
In: Biochimica et Biophysica Acta: Molecular and Cell Biology of Lipids, Vol. 1811, No. 11, 2011, p. 991-999.Research output: Contribution to journal › Review Article › Scientific › peer-review
TY - JOUR
T1 - Informatics and computational strategies for the study of lipids
AU - Orešič, Matej
PY - 2011
Y1 - 2011
N2 - The ability to translate vast amounts of information, as obtained from lipidomic analysis, into the knowledge and understanding of biological phenomena is an important challenge faced by the lipidomics community. While many of the informatics and computational tools from other domains such as bioinformatics and metabolomics are also applicable to lipidomics data processing and analysis, new solutions and strategies are needed for the studies of lipidomes at the systems level. This is due to enormous functional and structural diversity of lipids as well as because of their complex regulation at multiple spatial and temporal scales. In order to better understand the lipidomes at the physiological level, lipids need to be modeled not only at the level of biological pathways but also at the level of the biophysical systems they are part of, such as cellular membranes or lipoprotein particles. Herein the current state, recent advances and new opportunities in the field of lipid bioinformatics are reviewed. This article is part of a Special Issue entitled Lipodomics and Imaging Mass Spectrometry.
AB - The ability to translate vast amounts of information, as obtained from lipidomic analysis, into the knowledge and understanding of biological phenomena is an important challenge faced by the lipidomics community. While many of the informatics and computational tools from other domains such as bioinformatics and metabolomics are also applicable to lipidomics data processing and analysis, new solutions and strategies are needed for the studies of lipidomes at the systems level. This is due to enormous functional and structural diversity of lipids as well as because of their complex regulation at multiple spatial and temporal scales. In order to better understand the lipidomes at the physiological level, lipids need to be modeled not only at the level of biological pathways but also at the level of the biophysical systems they are part of, such as cellular membranes or lipoprotein particles. Herein the current state, recent advances and new opportunities in the field of lipid bioinformatics are reviewed. This article is part of a Special Issue entitled Lipodomics and Imaging Mass Spectrometry.
KW - Allostasis
KW - lipidomics
KW - metabolomics
KW - molecular dynamics
KW - system biology
U2 - 10.1016/j.bbalip.2011.06.012
DO - 10.1016/j.bbalip.2011.06.012
M3 - Review Article
VL - 1811
SP - 991
EP - 999
JO - Biochimica et Biophysica Acta: Molecular and Cell Biology of Lipids
JF - Biochimica et Biophysica Acta: Molecular and Cell Biology of Lipids
SN - 1388-1981
IS - 11
ER -