Predicting Glycerophosphoinositol Identities in Lipidomic Datasets Using VaLID (Visualization and Phospholipid Identification)—An Online Bioinformatic Search Engine
Joint Authors
Blanchard, Alexandre P.
Fai, Stephen
Taylor, Graeme P.
Figeys, Daniel
Bennett, Steffany A. L.
McDowell, Graeme S. V.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The capacity to predict and visualize all theoretically possible glycerophospholipid molecular identities present in lipidomic datasets is currently limited.
To address this issue, we expanded the search-engine and compositional databases of the online Visualization and Phospholipid Identification (VaLID) bioinformatic tool to include the glycerophosphoinositol superfamily.
VaLID v1.0.0 originally allowed exact and average mass libraries of 736,584 individual species from eight phospholipid classes: glycerophosphates, glyceropyrophosphates, glycerophosphocholines, glycerophosphoethanolamines, glycerophosphoglycerols, glycerophosphoglycerophosphates, glycerophosphoserines, and cytidine 5′-diphosphate 1,2-diacyl-sn-glycerols to be searched for any mass to charge value (with adjustable tolerance levels) under a variety of mass spectrometry conditions.
Here, we describe an update that now includes all possible glycerophosphoinositols, glycerophosphoinositol monophosphates, glycerophosphoinositol bisphosphates, and glycerophosphoinositol trisphosphates.
This update expands the total number of lipid species represented in the VaLID v2.0.0 database to 1,473,168 phospholipids.
Each phospholipid can be generated in skeletal representation.
A subset of species curated by the Canadian Institutes of Health Research Training Program in Neurodegenerative Lipidomics (CTPNL) team is provided as an array of high-resolution structures.
VaLID is freely available and responds to all users through the CTPNL resources web site.
American Psychological Association (APA)
McDowell, Graeme S. V.& Blanchard, Alexandre P.& Taylor, Graeme P.& Figeys, Daniel& Fai, Stephen& Bennett, Steffany A. L.. 2014. Predicting Glycerophosphoinositol Identities in Lipidomic Datasets Using VaLID (Visualization and Phospholipid Identification)—An Online Bioinformatic Search Engine. BioMed Research International،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-500593
Modern Language Association (MLA)
McDowell, Graeme S. V.…[et al.]. Predicting Glycerophosphoinositol Identities in Lipidomic Datasets Using VaLID (Visualization and Phospholipid Identification)—An Online Bioinformatic Search Engine. BioMed Research International No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-500593
American Medical Association (AMA)
McDowell, Graeme S. V.& Blanchard, Alexandre P.& Taylor, Graeme P.& Figeys, Daniel& Fai, Stephen& Bennett, Steffany A. L.. Predicting Glycerophosphoinositol Identities in Lipidomic Datasets Using VaLID (Visualization and Phospholipid Identification)—An Online Bioinformatic Search Engine. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-500593
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500593