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Nicoleta Spīnu
Nicoleta Spīnu
esqLABS GmbH
Verified email at esqlabs.com - Homepage
Title
Cited by
Cited by
Year
Quantitative adverse outcome pathway (qAOP) models for toxicity prediction
N Spinu, MTD Cronin, SJ Enoch, JC Madden, AP Worth
Archives of toxicology 94 (5), 1497-1510, 2020
922020
Development and analysis of an adverse outcome pathway network for human neurotoxicity
N Spinu, A Bal-Price, MTD Cronin, SJ Enoch, JC Madden, AP Worth
Archives of toxicology 93 (10), 2759-2772, 2019
832019
Derivation, characterisation and analysis of an adverse outcome pathway network for human hepatotoxicity
E Arnesdotter, N Spinu, J Firman, D Ebbrell, MTD Cronin, T Vanhaecke, ...
Toxicology 459, 152856, 2021
262021
Towards a qAOP framework for predictive toxicology-Linking data to decisions
A Paini, I Campia, MTD Cronin, D Asturiol, L Ceriani, TE Exner, W Gao, ...
Computational Toxicology 21, 100195, 2022
192022
Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network
N Spīnu, MTD Cronin, J Lao, A Bal-Price, I Campia, SJ Enoch, ...
Computational Toxicology 21, 100206, 2022
172022
Prediction of the neurotoxic potential of chemicals based on modelling of molecular initiating events upstream of the adverse outcome pathways of (developmental) neurotoxicity
D Gadaleta, N Spīnu, A Roncaglioni, MTD Cronin, E Benfenati
International Journal of Molecular Sciences 23 (6), 3053, 2022
92022
A scheme to evaluate structural alerts to predict toxicity–assessing confidence by characterising uncertainties
MTD Cronin, FJ Bauer, M Bonnell, B Campos, DJ Ebbrell, JW Firman, ...
Regulatory Toxicology and Pharmacology 135, 105249, 2022
72022
A strategy to define applicability domains for read-across
C Pestana, SJ Enoch, JW Firman, JC Madden, N Spīnu, MTD Cronin
Computational Toxicology 22, 100220, 2022
62022
A matter of trust: learning lessons about causality will make qAOPs credible
N Spīnu, MTD Cronin, JC Madden, AP Worth
Computational Toxicology 21, 100205, 2022
52022
Modelling of quantitative Adverse Outcome Pathways
N Spīnu
PQDT-Global, 2021
42021
Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project
A Furuhama, A Kitazawa, J Yao, CE Matos Dos Santos, J Rathman, ...
SAR and QSAR in Environmental Research 34 (12), 983-1001, 2023
12023
Will qAOPs modernise toxicology?
MTD Cronin, N Spīnu, AP Worth
Computational Toxicology 21, 100199, 2022
12022
Do we really need animal testing to keep us safe?
T Capdevila, F Lahr, L Lukačević, N Marčetić, N Spinu
Fluoride Action Network
N Spinu, MTD Cronin, J Lao, A Bal-Price, I Campia, SJ Enoch, ...
Computational Toxicology
A Paini, A Worth, S Kulkarni, D Ebbrell, J Madden
Assessment of the Confidence of a Novel In Silico Classification Scheme for Environmental Toxicology
MTD Cronin, F Bauer, DJ Ebbrell, JW Firman, S Gutsell, G Hodges, ...
SETAC North America 41st Annual Meeting, 0
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