The eNanoMapper database for nanomaterial safety information

Scholarly Works

• Barrick, A.; Kalman, J.; Manier, N.; Châtel, A.; Fernández-Cruz, M. L.; Navas, J. M. Standardization of nanoecotoxicology to facilitate grouping strategies for engineered nanomaterials. The Science of the total environment 2025, 1003, 180696. doi:10.1016/j.scitotenv.2025.180696
• Sid Ahmed, H. M. A.; Ali, M. A. M. Applications of Computer-Aided Drug Design Tools in Nanotechnologies for Drug Delivery Systems; Discovery and Development. Progress in Drug Research; Springer Nature Switzerland, 2025; pp 627–664. doi:10.1007/978-3-032-00796-4_21
• Wang, T.; Yang, X.; Zhu, H. ViNAS-Pro: Online nanotoxicity data, modeling, and predictions. Machine Learning and Artificial Intelligence in Toxicology and Environmental Health; Elsevier, 2025; pp 233–244. doi:10.1016/b978-0-443-30010-3.00011-8
• Furxhi, I.; Perucca, M.; Baldi, G.; Dami, V.; Cioni, A.; Koivisto, A. J.; Bengalli, R.; Mantecca, P.; Motta, G.; Carriere, M.; Kose, O.; Nicosia, A.; Ravegnani, F.; Burrueco-Subirà, D.; Candalija, A.; Cabellos, J.; Vázquez-Campos, S.; Lahive, E.; Eagles, E.; de Ipiña, J.-M. L.; Oliveira, J.; Conin, P.; Zanoni, I.; Brigliadori, A.; Faccani, L.; Syed, T.; Haq, E.-U.; O'Mahony, C.; Serantoni, M.; Blosi, M.; Exner, T.; Costa, A. The fruits of data shepherding: A collection of open FAIR datasets for titanium dioxide coated photocatalytic surfaces. NanoImpact 2025, 39, 100583. doi:10.1016/j.impact.2025.100583
• Willighagen, E. The eNanoMapper project deliverables. Front Matter 2025. doi:10.59350/t7kmh-fc360
• Willighagen, E. doi:10.59350/rdtj8-fkt94
• Li, M.; Li, Q.-Z.; Zhao, Y.; Gao, X. Recent Advances in Machine Learning Models for Predicting Toxicity of Inorganic Nanoparticles. Chem & Bio Engineering 2025. doi:10.1021/cbe.5c00048
• Chou, W.-C.; Canchola, A.; Zhang, F.; Lin, Z. Machine Learning and Artificial Intelligence in Nanomedicine. Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology 2025, 17, e70027. doi:10.1002/wnan.70027
• Rasmussen, K.; Sayre, P.; Kobe, A.; Gonzalez, M.; Rauscher, H. 25 years of research and regulation: Is nanotechnology safe to commercialize?. Frontiers in toxicology 2025, 7, 1629813. doi:10.3389/ftox.2025.1629813
• Andreoli, C.; Dusinska, M.; Bossa, C.; Battistelli, C. L.; Silva, M. J.; Louro, H. Regulatory practices on the genotoxicity testing of nanomaterials and outlook for the future. Regulatory toxicology and pharmacology : RTP 2025, 162, 105881. doi:10.1016/j.yrtph.2025.105881
• Wei, Z.; Zhuo, S.; Zhang, Y.; Wu, L.; Gao, X.; He, S.; Bo, X.; Zhou, W. Machine learning reshapes the paradigm of nanomedicine research. Acta Pharmaceutica Sinica B 2025. doi:10.1016/j.apsb.2025.05.014
• Lee, Y.; McAllister, K.; Lee, H.-R.; Jung, S.; Murphy, F. Evaluation of a bioprinted 3D airway tissue model for toxicity testing of nanomaterials; Pathway to integration into a tiered testing strategy for hazard assessment to support safety-by-design. Nano Today 2025, 61, 102655. doi:10.1016/j.nantod.2025.102655
• OréMaldonado, K. A.; Cuesta, S. A.; Mora, J. R.; Loroño, M. A.; Paz, J. L. Discovering New Tyrosinase Inhibitors by Using In Silico Modelling, Molecular Docking, and Molecular Dynamics. Pharmaceuticals (Basel, Switzerland) 2025, 18, 418. doi:10.3390/ph18030418
• Abram, S.-L.; Tavernaro, I.; Johnston, L. J.; Zou, S.; Resch-Genger, U. Nanoscale reference and test materials for the validation of characterization methods for engineered nanomaterials - current state, limitations, and needs. Analytical and bioanalytical chemistry 2025, 417, 2405–2425. doi:10.1007/s00216-024-05719-6
• Panchalingam, S.; Kasivelu, G.; Jayaraman, M. Computational modeling and molecular dynamic simulations of gold nanoparticles. Gold Nanoparticles, Nanomaterials and Nanocomposites; Elsevier, 2025; pp 869–893. doi:10.1016/b978-0-443-15897-1.00022-4
• Sanni, S. E.; Oni, B. A.; Okoro, E. E.; Pandya, S. Recent advances in the use of biogenic nanomaterials and photocatalysts for wastewater treatment: challenges and future prospects. Frontiers in Nanotechnology 2024, 6. doi:10.3389/fnano.2024.1469309
• Zainal-Abidin, R.-A.; Khalid, K. Nanotechnologies and Omics: A Way Forward. Advances in Plant Breeding Strategies; Springer International Publishing, 2024; pp 3–23. doi:10.1007/978-3-031-61081-3_1
• Usmani, S. M.; Bremer‐Hoffmann, S.; Cheyns, K.; Cubadda, F.; Dumit, V. I.; Escher, S. E.; Fessard, V.; Gutleb, A. C.; Léger, T.; Liu, Y.; Mast, J.; McVey, E.; Mertens, B.; Montalvo, D.; Oomen, A. G.; Ritz, V.; Serchi, T.; Sieg, H.; Siewert, K.; Stanco, D.; Verleysen, E.; Vincentini, O.; Yeo, C. W. S.; Yu, D.; van der Zande, M.; Haase, A. Review of New Approach Methodologies for Application in Risk Assessment of Nanoparticles in the Food and Feed Sector: Status and Challenges. EFSA Supporting Publications 2024, 21. doi:10.2903/sp.efsa.2024.en-8826
• Wang, T.; Russo, D. P.; Demokritou, P.; Jia, X.; Huang, H.; Yang, X.; Zhu, H. An Online Nanoinformatics Platform Empowering Computational Modeling of Nanomaterials by Nanostructure Annotations and Machine Learning Toolkits. Nano letters 2024, 24, 10228–10236. doi:10.1021/acs.nanolett.4c02568
• Bahl, A.; Halappanavar, S.; Wohlleben, W.; Nymark, P.; Kohonen, P.; Wallin, H.; Vogel, U.; Haase, A. Bioinformatics and machine learning to support nanomaterial grouping. Nanotoxicology 2024, 18, 373–400. doi:10.1080/17435390.2024.2368005

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