Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Selena E. Richards"'
Autor:
Sandrine P. Claus, Sandrine L. Ellero, Bernard Berger, Lutz Krause, Anne Bruttin, Jérôme Molina, Alain Paris, Elizabeth J. Want, Isabelle de Waziers, Olivier Cloarec, Selena E. Richards, Yulan Wang, Marc-Emmanuel Dumas, Alastair Ross, Serge Rezzi, Sunil Kochhar, Peter Van Bladeren, John C. Lindon, Elaine Holmes, Jeremy K. Nicholson
Publikováno v:
mBio, Vol 2, Iss 2 (2011)
ABSTRACT The gut microbiota enhances the host’s metabolic capacity for processing nutrients and drugs and modulate the activities of multiple pathways in a variety of organ systems. We have probed the systemic metabolic adaptation to gut colonizati
Externí odkaz:
https://doaj.org/article/db513350cc2244e59716cf1ce1fa7ee3
Autor:
Andrew V. Stachulski, John C. Lindon, Toby J. Athersuch, Peter Bradshaw, Selena E. Richards, Ian D. Wilson
Publikováno v:
Organic & biomolecular chemistry
Acyl glucuronide metabolites have been implicated in the toxicity of several carboxylic acid-containing drugs, and the rate of their degradation via intramolecular transacylation and hydrolysis has been associated with the degree of protein adduct fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7a22d9fd064811dca8bf5f7487568f2
https://doi.org/10.1021/scimeetings.1c01337
https://doi.org/10.1021/scimeetings.1c01337
Publikováno v:
PLOS ONE. 17:e0270476
Objective The objectives of the study is to investigate the global socioeconomic risk factors associated with diabetes prevalence using evidence from available country-level data. Design A cross-sectional study based on (2010 & 2019) countrywide Heal
Autor:
Richard H. Barton, Elaine Holmes, Judith M. Fonville, Selena E. Richards, Jeremy K. Nicholson, Timothy M. D. Ebbels, Claire L. Boulangé, Marc-Emmanuel Dumas
Publikováno v:
Journal of Chemometrics. 24:636-649
Metabonomics is a key element in systems biology, and with current analytical methods, generates vast amounts of quantitative or qualitative metabolic data. Understanding of the global function of the living organism can be achieved by integration of
Autor:
Timothy M. D. Ebbels, Judith M. Fonville, Marc-Emmanuel Dumas, Elaine Holmes, Jeremy K. Nicholson, Selena E. Richards
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 104:121-131
The explosion of -omics technologies in the characterization and prediction of defined physiological or pathological states necessitates a parallel development in data integration and visualization tools in order to display and interpret vast amounts
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 94:9-18
This work demonstrates the application of a new Quantitative Self Modeling Curve Resolution (SMCR) approach for the simultaneous qualitative and quantitative recovery of reaction constituents; ethylene, acetic acid, water, vinyl acetate monomer and c
Publikováno v:
Journal of Chemometrics. 22:63-80
Traditionally, improvement of the constrained alternating least squares (ALS) solution has been executed by the addition of a priori information in the initial estimates and or constraints. However, there are cases where this information simply does
Publikováno v:
Analytica Chimica Acta. 519:1-9
Multivariate Curve Resolution with Alternating Least Squares (MCR–ALS) has been successfully applied to in situ infrared measurements of rhodium catalysed asymmetric transfer hydrogenation (CATHy) reaction of 1-methyl-6,7-dimethoxy-3,4-dihydroisoqu
Publikováno v:
Physical Review B. 88
Neutron Compton scattering experiments on crystalline lithium hydride and deuteride are presented and compared with existing experimental data and first-principles predictions. With currently available instrumentation, these measurements demonstrate
Autor:
Jeremy K. Nicholson, Elaine Holmes, Selena E. Richards, Sandrine P. Claus, Sunil Kochhar, Yulan Wang, Dennis F. Lawler
Publikováno v:
Journal of proteome research. 12(7)
Modeling aging and age-related pathologies presents a substantial analytical challenge given the complexity of gene-environment influences and interactions operating on an individual. A top-down systems approach is used to model the effects of lifelo