Steve Gutsell
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Explore the profile of Steve Gutsell including associated specialties, affiliations and a list of published articles.
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25
Citations
307
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Recent Articles
1.
Wood A, Breffa C, Chaine C, Cubberley R, Dent M, Eichhorn J, et al.
Toxicology
. 2024 Jun;
506:153835.
PMID: 38857863
Next Generation Risk Assessment (NGRA) is an exposure-led approach to safety assessment that uses New Approach Methodologies (NAMs). Application of NGRA has been largely restricted to assessments of consumer use...
2.
Droge S, Hodges G, Bonnell M, Gutsell S, Roberts J, Teixeira A, et al.
Environ Sci Process Impacts
. 2023 Feb;
25(3):621-647.
PMID: 36779707
The risk assessment of thousands of chemicals used in our society benefits from adequate grouping of chemicals based on the mode and mechanism of toxic action (MoA). We measure the...
3.
Firman J, Ebbrell D, Bauer F, Sapounidou M, Hodges G, Campos B, et al.
Environ Sci Technol
. 2022 Nov;
56(24):17805-17814.
PMID: 36445296
The performance of chemical safety assessment within the domain of environmental toxicology is often impeded by a shortfall of appropriate experimental data describing potential hazards across the many compounds in...
4.
Cronin M, Bauer F, Bonnell M, Campos B, Ebbrell D, Firman J, et al.
Regul Toxicol Pharmacol
. 2022 Aug;
135:105249.
PMID: 36041585
Structure-activity relationships (SARs) in toxicology have enabled the formation of structural rules which, when coded as structural alerts, are essential tools in in silico toxicology. Whilst other in silico methods...
5.
Brockmeier E, Basili D, Herbert J, Rendal C, Boakes L, Grauslys A, et al.
Sci Total Environ
. 2022 Jul;
849:157666.
PMID: 35908689
With the large numbers of man-made chemicals produced and released in the environment, there is a need to provide assessments on their potential effects on environmental safety and human health....
6.
Neural network activation similarity: a new measure to assist decision making in chemical toxicology
Allen T, Wedlake A, Gelzinyte E, Gong C, Goodman J, Gutsell S, et al.
Chem Sci
. 2021 Jun;
11(28):7335-7348.
PMID: 34123016
Deep learning neural networks, constructed for the prediction of chemical binding at 79 pharmacologically important human biological targets, show extremely high performance on test data (accuracy 92.2 ± 4.2%, MCC...
7.
Sapounidou M, Ebbrell D, Bonnell M, Campos B, Firman J, Gutsell S, et al.
Environ Sci Technol
. 2021 Jan;
55(3):1897-1907.
PMID: 33478211
This study developed a novel classification scheme to assign chemicals to a verifiable mechanism of (eco-)toxicological action to allow for grouping, read-across, and model generation. The new classification scheme unifies...
8.
Wedlake A, Allen T, Goodman J, Gutsell S, Kukic P, Russell P
Chem Res Toxicol
. 2020 Dec;
33(12):3010-3022.
PMID: 33295767
Having a measure of confidence in computational predictions of biological activity from tools is vital when making predictions for new chemicals, for example, in chemical risk assessment. Where predictions of...
9.
Allen T, Nelms M, Edwards S, Goodman J, Gutsell S, Russell P
Environ Sci Technol
. 2020 May;
54(12):7461-7470.
PMID: 32432465
Molecular initiating events (MIEs) are key events in adverse outcome pathways that link molecular chemistry to target biology. As they are based on chemistry, these interactions are excellent targets for...
10.
Wedlake A, Folia M, Piechota S, Allen T, Goodman J, Gutsell S, et al.
Chem Res Toxicol
. 2019 Dec;
33(2):388-401.
PMID: 31850746
A molecular initiating event (MIE) is the gateway to an adverse outcome pathway (AOP), a sequence of events ending in an adverse effect. In silico predictions of MIEs are a...