Steve O'Hagan
Steve O'Hagan
Computer Officer, MIB & School of Chemistry, University of Manchester
Verified email at - Homepage
Cited by
Cited by
Development of a robust and repeatable UPLC− MS method for the long-term metabolomic study of human serum
E Zelena, WB Dunn, D Broadhurst, S Francis-McIntyre, KM Carroll, ...
Analytical chemistry 81 (4), 1357-1364, 2009
A metabolome pipeline: from concept to data to knowledge
M Brown, WB Dunn, DI Ellis, R Goodacre, J Handl, JD Knowles, ...
Metabolomics 1 (1), 39-51, 2005
Molecular phenotyping of a UK population: defining the human serum metabolome
WB Dunn, W Lin, D Broadhurst, P Begley, M Brown, E Zelena, ...
Metabolomics 11 (1), 9-26, 2015
Illuminating disease and enlightening biomedicine: Raman spectroscopy as a diagnostic tool
DI Ellis, DP Cowcher, L Ashton, S O'Hagan, R Goodacre
Analyst 138 (14), 3871-3884, 2013
Closed-loop, multiobjective optimization of analytical instrumentation: gas chromatography/time-of-flight mass spectrometry of the metabolomes of human serum and of yeast …
S O'Hagan, WB Dunn, M Brown, JD Knowles, DB Kell
Analytical chemistry 77 (1), 290-303, 2005
Closed-loop, multiobjective optimization of two-dimensional gas chromatography/mass spectrometry for serum metabolomics
S O'Hagan, WB Dunn, JD Knowles, D Broadhurst, R Williams, ...
Analytical Chemistry 79 (2), 464-476, 2007
COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access
RM Salek, S Neumann, D Schober, J Hummel, K Billiau, J Kopka, ...
Metabolomics 11 (6), 1587-1597, 2015
A ‘rule of 0.5’for the metabolite-likeness of approved pharmaceutical drugs
O Steve, N Swainston, J Handl, DB Kell
Metabolomics 11 (2), 323-339, 2015
The apparent permeabilities of Caco-2 cells to marketed drugs: magnitude, and independence from both biophysical properties and endogenite similarities
S O’Hagan, DB Kell
PeerJ 3, e1405, 2015
GeneGini: Assessment via the Gini coefficient of reference “housekeeping” genes and diverse human transporter expression profiles
S O'Hagan, MW Muelas, PJ Day, E Lundberg, DB Kell
Cell systems 6 (2), 230-244. e1, 2018
Software review: the KNIME workflow environment and its applications in Genetic Programming and machine learning
S O’Hagan, DB Kell
Genetic Programming and Evolvable Machines 16 (3), 387-391, 2015
Understanding the foundations of the structural similarities between marketed drugs and endogenous human metabolites
S O'Hagan, DB Kell
Frontiers in pharmacology 6, 105, 2015
Consensus rank orderings of molecular fingerprints illustrate the ‘most genuine’similarities between marketed drugs and small endogenous human metabolites, but highlight …
S O’Hagan, DB Kell
ADMET and DMPK 5 (2), 85-125, 2017
MetMaxStruct: a Tversky-similarity-based strategy for analysing the (sub) structural similarities of drugs and endogenous metabolites
S O'Hagan, DB Kell
Frontiers in pharmacology 7, 266, 2016
Analysis of drug–endogenous human metabolite similarities in terms of their maximum common substructures
S O’hagan, DB Kell
Journal of cheminformatics 9 (1), 1-17, 2017
A brain-permeable inhibitor of the neurodegenerative disease target kynurenine 3-monooxygenase prevents accumulation of neurotoxic metabolites
S Zhang, M Sakuma, GS Deora, CW Levy, A Klausing, C Breda, KD Read, ...
Communications biology 2 (1), 1-10, 2019
Analysing and navigating natural products space for generating small, diverse, but representative chemical libraries
S O’Hagan, DB Kell
Biotechnology journal 13 (1), 1700503, 2018
The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data
MW Muelas, F Mughal, S O’Hagan, PJ Day, DB Kell
Scientific reports 9 (1), 1-21, 2019
Exploiting genomic knowledge in optimising molecular breeding programmes: algorithms from evolutionary computing
S O'Hagan, J Knowles, DB Kell
PLoS One 7 (11), e48862, 2012
Enhancing drug efficacy and therapeutic index through cheminformatics-based selection of small molecule binary weapons that improve transporter-mediated targeting: a …
JM Grixti, S O'Hagan, PJ Day, DB Kell
Frontiers in pharmacology 8, 155, 2017
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