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David S. Wishart

Researcher at University of Alberta

Publications -  564
Citations -  93527

David S. Wishart is an academic researcher from University of Alberta. The author has contributed to research in topics: Metabolomics & Medicine. The author has an hindex of 108, co-authored 523 publications receiving 76652 citations. Previous affiliations of David S. Wishart include La Trobe University & International Agency for Research on Cancer.

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Journal ArticleDOI

Puzzling Out Law's Person

TL;DR: In this paper, the legal person is not a single concept but a variety of constructs of particular programs of legal change, and the person is a discursive structure within a rationality of government.
Proceedings ArticleDOI

Computational approaches to metabolomics: an introduction

TL;DR: This year's Pacific Symposium in Biocomputing solicited papers that focused specifically on describing novel methods for the acquisition, management and analysis of metabolomic data, particularly interested in papers that covered one of the five following topics: metabolomics databases; 2) metabolomics LIMS; 3) spectral analysis tools for metabolomics; 4) medical or applied metabolomics.
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Predicting PAMPA permeability using the 3D-RISM-KH theory: are we there yet?

TL;DR: In this article, the authors developed an in-silico model to predict the permeability of compounds based on the parallel artificial membrane permeability assay (PAMPA), a non-cellular lab-based assay, and used the 3D-RISM theory with the Kovalenko-Hirata (KH) closure to calculate the excess chemical potentials of a large set of compounds.
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A simple and sensitive biosensor for rapid detection of nanoparticles in water

TL;DR: A protein-based biosensor that can sensitively detect negatively charged ENPs in aquatic matrices is generated using a genetically engineered green fluorescent protein with a poly-lysine tag to facilitate its electrostatic interaction with commercially available negatively charged NPs.
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Metabolomic Prediction of Fetal Congenital Heart Defect in the First Trimester

TL;DR: In this article, the authors identify metabolomic markers in maternal first-trimester serum for the detection of fetal congenital heart defects (CHDs) using mass spectrometry (direct injection/liquid chromatography and tandem mass spectra) and nuclear magnetic resonance spectrometric-based metabolomic analyses on maternal serum.