Cronin, M, Basiri, H, Chrysochoou, G, Enoch, SJ, Firman, JW, Spinu, N and Madden, JC (2024) The predictivity of QSARs for toxicity: Recommendations for improving model performance. Computational Toxicology, 33.

Banerjee, A, Kar, S, Roy, K, Patlewicz, G, Charest, N, Benfenati, E and Cronin, M (2024) Molecular Similarity in Chemical Informatics and Predictive Toxicity Modeling: From Quantitative Read-across (q-RA) to Quantitative Read-Across Structure-Activity Relationship (q-RASAR) with the Application of Machine Learning. Critical Reviews in Toxicology. ISSN 1040-8444

Viant, M, Barnett, RE, Campos, B, Colbourne, JK, Barnard, M, Biales, AD, Cronin, M, Fay, KA, Koehrn, K, McGarry, HF, Sachana, M and Hodges, G (2024) Utilising omics data for chemical grouping. Environmental Toxicology and Chemistry. ISSN 0730-7268

Furuhama, A, Kitazawa, A, Yao, Y, Matos dos Santos, CE, Rathman, J, Yang, C, Ribeiro, JV, Cross, K, Myatt, G, Raitano, G, Benfenati, E, Jeliazkova, N, Saiakhov, R, Chakravarti, S, Foster, RS, Bossa, C, Laura Battistelli, C, Benigni, R, Sawada, T, Wasada, H et al, Hashimoto, T, Wu, M, Barzilay, R, Daga, PR, Clark, RD, Mestres, J, Montero, A, Gregori- Puigjané, E, Petkov, P, Ivanova, H, Mekenyan, O, Matthews, S, Guan, D, Spicer, J, Lui, R, Uesawa, Y, Kurosaki, K, Matsuzaka, Y, Sasaki, S, Cronin, M, Belfield, J, Firman, JW, Spînu, N, Qiu, M, Keca, JM, Gini, G, Li, T, Tong, W, Hong, H, Liu, Z, Igarashi, Y, Yamada, H, Sugiyama, K-L and Honma, M (2023) Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project. SAR and QSAR in Environmental Research, 34 (12). pp. 983-1001. ISSN 1026-776X

Sanz, F, Pognan, F, Steger-Hartmann, T, Diaz, C, Asakura, S, Amberg, A, Bécourt-Lhote,, N, Blomberg,, N, Bosc, N, Briggs, K, Bringezu, F, Brulle-Wohlhueter,, C, Brunak, S, Bueters, R, Callegaro, G, Capella-Gutierrez,, S, Centeno, E, Corvi, J, Cronin, M, Drew, P et al, Duchateau-Nguyen, G, Ecker, GF, Escher, S, Felix, E, Ferreiro, M, Frericks, M, Furlong, LI, Geiger, R, George, C, Grandits, M, Ivanov-Draganov, D, Kilgour-Christie, J, Kiziloren, T, Kors, JA, Koyama, N, Kreuchwig, A, Leach, AR, Mayer, MA, Monecke, P, Muster, W, Nakazawa, CM, Nicholson, G, Parry, R, Pastor, M, Piñero, J, Oberhauser, N, Ramírez-Anguita, JM, Rodrigo, A, Smajic, A, Schaefer, M, Schieferdecker, S, Soininen, I, Terricabras, E, Trairatphisan, P, Turner, SC, Valencia, A, van de Water, B, van der Lei, JL, van Mulligen, EM, Vock, E and Wilkinson, D (2023) eTRANSAFE: data science to empower translational safety assessment. Nature Reviews Drug Discovery. ISSN 1474-1776

Yang, C, Rathman, JF, Bienfait, B, Burbank, M, Detroyer, A, Enoch, SJ, Firman, JW, Gutsell, S, Hewitt, NJ, Hobocienski, B, Mostrag-Szlichtyng, A, Krueger, CT, Lester, C, Mahoney, C, Najjar, A, Ouédraogo, G, Przybylak, KR, Ribeiro, JF and Cronin, M (2023) The role of a molecular informatics platform to support next generation risk assessment. Computational Toxicology, 26. ISSN 2468-1113

Cronin, M, Belfield, SJ, Briggs, K, Enoch, SJ, Firman, JW, Frericks, M, Garrard, C, MacCallum, P, Madden, JC, Pastor, M, Sanz, F, Soininen, I and Sousoni, D (2023) Making in silico predictive models for toxicology FAIR. Regulatory Toxicology and Pharmacology, 140. ISSN 0273-2300

Paini, A, Campia, I, Cronin, M, Pletz, J and Spinu, N (2021) Towards a qAOP Framework for Predictive Toxicology - Linking Data to Decisions. Computational Toxicology, 21. ISSN 2468-1113