Timothy E H Allen
Overview
Explore the profile of Timothy E H Allen including associated specialties, affiliations and a list of published articles.
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Articles
18
Citations
194
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Recent Articles
1.
Yazdani K, Jordan D, Yang M, Fullenkamp C, Calabrese D, Boer R, et al.
Angew Chem Int Ed Engl
. 2022 Dec;
62(11):e202211358.
PMID: 36584293
Small molecule targeting of RNA has emerged as a new frontier in medicinal chemistry, but compared to the protein targeting literature our understanding of chemical matter that binds to RNA...
2.
Mansouri K, Karmaus A, Fitzpatrick J, Patlewicz G, Pradeep P, Alberga D, et al.
Environ Health Perspect
. 2021 Oct;
129(10):109001.
PMID: 34647794
No abstract available.
3.
Mansouri K, Karmaus A, Fitzpatrick J, Patlewicz G, Pradeep P, Alberga D, et al.
Environ Health Perspect
. 2021 Jul;
129(7):79001.
PMID: 34242083
No abstract available.
4.
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...
5.
Mansouri K, Karmaus A, Fitzpatrick J, Patlewicz G, Pradeep P, Alberga D, et al.
Environ Health Perspect
. 2021 Apr;
129(4):47013.
PMID: 33929906
Background: Humans are exposed to tens of thousands of chemical substances that need to be assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for regulatory...
6.
Wang M, Goodman J, Allen T
Chem Res Toxicol
. 2020 Dec;
34(2):217-239.
PMID: 33356168
In recent times, machine learning has become increasingly prominent in predictive toxicology as it has shifted from studies toward studies. Currently, methods together with other computational methods such as quantitative...
7.
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...
8.
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...
9.
Vinken M, Kramer N, Allen T, Hoffmans Y, Thatcher N, Levorato S, et al.
Arch Toxicol
. 2020 Feb;
94(3):959-966.
PMID: 32065296
In the last decade, adverse outcome pathways have been introduced in the fields of toxicology and risk assessment of chemicals as pragmatic tools with broad application potential. While their use...
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...