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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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The Childhood Acute Illness and Nutrition (CHAIN) network nested case-cohort study protocol: a multi-omics approach to understanding mortality among children in sub-Saharan Africa and South Asia.
James M. Njunge,Kirkby D Tickell,Abdoulaye Hama Diallo,Abu Sadat Mohammad Sayeem Bin Shahid,Md. Amran Gazi,Ali Faisal Saleem,Zaubina Kazi,Syed Ali,Caroline Tigoi,Ezekiel Mupere,Christina Lancioni,Emily Yoshioka,Mohammod Jobayer Chisti,Moses Mburu,Moses Ngari,N.K Ngao,B. Gichuki,Elisha Omer,Wilson Gumbi,Benson Singa,Robert H. J. Bandsma,Tahmeed Ahmed,Wieger Voskuijl,Thomas N. Williams,Alex Macharia,Johnstone Makale,Ann M. Mitchel,Jessica Williams,Joseph Gogain,Nebojsa Janjic,Rupasri Mandal,David S. Wishart,Hang Wu,Lei Xia,Michael Routledge,Yun Yun Gong,Camilo Espinosa,Nima Aghaeepour,Jie Liu,Eric R. Houpt,Trevor D. Lawley,Hilary P. Browne,Yan Shao,Doreen Rwigi,Kevin Karangi Kariuki,Timothy Kaburu,Holm H. Uhlig,Lisa Gartner,Kelsey D. J. Jones,Albert Koulman,Judd L. Walson,James A. Berkley +51 more
TL;DR: In this article , the authors investigated biological mechanisms leading to inpatient and post-discharge mortality through an integrated multi-omic approach, which can yield mechanistic insights, show interactions and behaviours of the components of biological entities, and help develop interventions to reduce mortality among acutely ill children.
Journal ArticleDOI
Exploring Biological Impacts of Prenatal Nutrition and Selection for Residual Feed Intake on Beef Cattle Using Omics Technologies: A Review.
TL;DR: In this article, the influence of prenatal nutrition on physiological phenotypes in cattle has been investigated and the benefits of investigating the interaction of genetic selection for residual feed intake (RFI) and prenatal nutrition was discussed.
Journal ArticleDOI
Biomolecular Recognition Based on 3D Molecular Theory of Solvation
Nikolay Blinov,Nikolay Blinov,WenJuan Huang,WenJuan Huang,Dragan Nikolić,Dragan Nikolić,David S. Wishart,David S. Wishart,Andriy Kovalenko,Andriy Kovalenko +9 more
TL;DR: New approaches for accurate account of molecular solvation effects in protein-ligand recognition and binding are developed, which further extend the ligand mapping protocols based on the molecular theory of solvation, a.k.a. the three-dimensional reference interaction site model with the Kovalenko-Hirata closure (3D-RISM-KH).