Open Access Article
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Correction: Advancing mutagenicity predictions in drug discovery with an explainable few-shot deep learning framework
Luis H. M. Torres*a,
Sofia M. da Silvab,
Joel P. Arraisa,
Catarina Pimentelb and
Bernardete Ribeiroa
aUniv Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, 3030-790 Coimbra, Portugal. E-mail: luistorres@dei.uc.pt
bInstituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, 2780-157, Portugal
First published on 17th December 2025
Abstract
Correction for ‘Advancing mutagenicity predictions in drug discovery with an explainable few-shot deep learning framework’ by Luis H. M. Torres et al., Digital Discovery, 2025, 4, 3515–3532, https://doi.org/10.1039/D5DD00276A.
The authors regret the misformatting of the funding information in the original article. The below details the updated funding information and acknowledgements for this article.
Funding
This work is financed by the Portuguese Recovery and Resilience Plan (PRR) through the project C645008882-00000055, Center for Responsible AI (https://url.uk.m.mimecastprotect.com/s/G7u9COM08fvB5yYhEfEFGRxeD?domain=centerforresponsible.ai/).
Acknowledgements
This work was also supported by the FCT – Foundation for Science and Technology, I.P./MCTES, through national funds (PIDDAC), within the scope of CISUC R&D Unit – UIDB/00326/2020 or UIDP/00326/2020, MOSTMICRO-ITQB R&D Unit (UIDB/04612/2020, UIDP/04612/2020), and the LS4FUTURE Associated Laboratory (LA/P/0087/2020).
The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
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