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Mark Hewitt

Researcher at University of Wolverhampton

Publications -  35
Citations -  1385

Mark Hewitt is an academic researcher from University of Wolverhampton. The author has contributed to research in topics: Quantitative structure–activity relationship & Data quality. The author has an hindex of 20, co-authored 34 publications receiving 1253 citations. Previous affiliations of Mark Hewitt include Liverpool John Moores University.

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Journal ArticleDOI

Measurement and estimation of electrophilic reactivity for predictive toxicology.

TL;DR: Measurement and Estimation of Electrophilic Reactivity for Predictive Toxicology Johannes A. H. Schw€obel, Yana K. Koleva, Steven J. Enoch, Fania Bajot, Mark Hewitt, Judith C.Madden, and Mark T. Schultz.
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2-Heteroarylimino-5-benzylidene-4-thiazolidinones analogues of 2-thiazolylimino-5-benzylidene-4-thiazolidinones with antimicrobial activity: synthesis and structure-activity relationship.

TL;DR: It is worth noting that the replacement of the thiazole nucleus for the benzo[d]thiazole bicyclic system in the parent 2-(benzylidene-2-ylimino)thiazolidin-4-one leads to significant antifungal properties against both yeasts and moulds, properties not shown by the analogous 2-thiazolyl- and 2-benzo[ d]isothiazoly l-imino-5-
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Crystal structures and spectroscopic behavior of monomeric, dimeric and polymeric copper(II) chloroacetate adducts with isonicotinamide, N-methylnicotinamide and N,N-diethylnicotinamide

TL;DR: In this paper, the crystal structures and spectroscopic properties of monomeric, dimeric and polymeric copper(II) chloroacetates with isonicotinamide (INA), N-methylnicotinamide(MNA), and N,N-diethylnicotine (DENA) were characterized by electron paramagnetic resonance (EPR) and IR spectroscopy.
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Consensus QSAR models: do the benefits outweigh the complexity?

TL;DR: The results highlight the ability of the genetic algorithm to develop predictive models from a large descriptor pool, however, the consensus models were shown to offer no significant improvements over single regression models, which are as statistically robust as the equivalent consensus models.
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Pharmaceuticals in the environment: good practice in predicting acute ecotoxicological effects.

TL;DR: The importance of using expert judgement to ascertain whether or not use of a particular model is appropriate when the specific chemistry of a query compound is considered is demonstrated.