The eNanoMapper database for nanomaterial safety information

Scholarly Works

• 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
• Stobernack, T.; Dommershausen, N.; Alcolea-Rodríguez, V.; Ledwith, R.; Bañares, M. A.; Haase, A.; Pink, M.; Dumit, V. I. Advancing Nanomaterial Toxicology Screening Through Efficient and Cost-Effective Quantitative Proteomics. Small methods 2024, e2400420. doi:10.1002/smtd.202400420
• Harten, P.; Helgen, H.; Melendez, W.; Beach, B.; Boyes, W. K.; Sotiropoulos, I.; Karatzas, P.; Sarimveis, H.; Mortensen, H. M. Mining, refining, and QSAR analysing the nanoinformatics in EPA NaKnowBase. Environmental science. Nano 2024, 11, 2262–2274. doi:10.1039/d3en00619k
• Ammar, A.; Evelo, C.; Willighagen, E. FAIR assessment of nanosafety data reusability with community standards. Scientific data 2024, 11, 503. doi:10.1038/s41597-024-03324-x
• van Rijn, J. P. M.; Martens, M.; Ammar, A.; Cimpan, M. R.; Fessard, V.; Hoet, P.; Jeliazkova, N.; Murugadoss, S.; Vinković Vrček, I.; Willighagen, E. L. From papers to RDF-based integration of physicochemical data and adverse outcome pathways for nanomaterials. Journal of cheminformatics 2024, 16, 49. doi:10.1186/s13321-024-00833-0
• Xie, W.; Xiong, Z.; Wang, H.; Liu, X.; Cui, H.; Huang, Q.; Tang, Y. The nanosafety assessment of ENMs under a dermal exposure scenario: from key molecular events toin silicomodeling tools. Environmental Science: Nano 2024, 11, 708–738. doi:10.1039/d3en00585b
• Mortensen, H. M.; Beach, B.; Slaughter, W.; Senn, J.; Williams, A.; Boyes, W. Translating nanoEHS data using EPA NaKnowBase and the resource description framework. F1000Research 2024, 13, 169. doi:10.12688/f1000research.141056.1
• Azizah, R. N.; Verheyen, G. R.; Shkedy, Z.; Van Miert, S. Testing for in vitro genetic toxicity in high dimensional nanomaterial dose-response experiments. Journal of Nanoparticle Research 2024, 26. doi:10.1007/s11051-024-05926-3
• Xiao, X.; Trinh, T. X.; Gerelkhuu, Z.; Ha, E.; Yoon, T. H. Automated machine learning in nanotoxicity assessment: A comparative study of predictive model performance. Computational and structural biotechnology journal 2024, 25, 9–19. doi:10.1016/j.csbj.2024.02.003
• Amos, J. D.; Zhang, Z.; Tian, Y.; Lowry, G. V.; Wiesner, M. R.; Hendren, C. O. Knowledge and Instance Mapping: architecture for premeditated interoperability of disparate data for materials. Scientific data 2024, 11, 173. doi:10.1038/s41597-024-03006-8
• Maier, D.; Exner, T. E.; Papadiamantis, A. G.; Ammar, A.; Tsoumanis, A.; Doganis, P.; Rouse, I.; Slater, L. T.; Gkoutos, G. V.; Jeliazkova, N.; Ilgenfritz, H.; Ziegler, M.; Gerhard, B.; Kopetsky, S.; Joshi, D.; Walker, L.; Svendsen, C.; Sarimveis, H.; Lobaskin, V.; Himly, M.; van Rijn, J.; Winckers, L.; Millán Acosta, J.; Willighagen, E.; Melagraki, G.; Afantitis, A.; Lynch, I. Harmonising knowledge for safer materials via the "NanoCommons" Knowledge Base. Frontiers in Physics 2023, 11. doi:10.3389/fphy.2023.1271842
• Martens, M.; Stierum, R.; Schymanski, E. L.; Evelo, C. T.; Aalizadeh, R.; Aladjov, H.; Arturi, K.; Audouze, K.; Babica, P.; Berka, K.; Bessems, J.; Blaha, L.; Bolton, E. E.; Cases, M.; Damalas, D. Ε.; Dave, K.; Dilger, M.; Exner, T.; Geerke, D. P.; Grafström, R.; Gray, A.; Hancock, J. M.; Hollert, H.; Jeliazkova, N.; Jennen, D.; Jourdan, F.; Kahlem, P.; Klanova, J.; Kleinjans, J.; Kondic, T.; Kone, B.; Lynch, I.; Maran, U.; Martinez Cuesta, S.; Ménager, H.; Neumann, S.; Nymark, P.; Oberacher, H.; Ramirez, N.; Remy, S.; Rocca-Serra, P.; Salek, R. M.; Sallach, B.; Sansone, S.-A.; Sanz, F.; Sarimveis, H.; Sarntivijai, S.; Schulze, T.; Slobodnik, J.; Spjuth, O.; Tedds, J.; Thomaidis, N.; Weber, R. J. M.; van Westen, G. J. P.; Wheelock, C. E.; Williams, A. J.; Witters, H.; Zdrazil, B.; Županič, A.; Willighagen, E. L. ELIXIR and Toxicology: a community in development. F1000Research 2023, 10, 1129. doi:10.12688/f1000research.74502.2
• Barrick, A.; Métais, I.; Ettajani, H.-P.; Marion, J.-M.; Châtel, A. Establishing FAIR (Findable, Accessible, Interoperable and Reusable) principles for estuarine organisms exposed to engineered nanomaterials. International Journal of Data Science and Analytics 2023, 16, 407–419. doi:10.1007/s41060-023-00447-z
• Dumit, V. I.; Ammar, A.; Bakker, M. I.; Bañares, M. A.; Bossa, C.; Costa, A.; Cowie, H.; Drobne, D.; Exner, T. E.; Farcal, L.; Friedrichs, S.; Furxhi, I.; Grafström, R.; Haase, A.; Himly, M.; Jeliazkova, N.; Lynch, I.; Maier, D.; Noorlander, C. W.; Shin, H. K.; Soler-Illia, G. J.; Suarez-Merino, B.; Willighagen, E.; Nymark, P. From principles to reality. FAIR implementation in the nanosafety community. Nano Today 2023, 51, 101923. doi:10.1016/j.nantod.2023.101923
• Mancardi, G.; Mikolajczyk, A.; Annapoorani, V. K.; Bahl, A.; Blekos, K.; Burk, J.; Çetin, Y. A.; Chairetakis, K.; Dutta, S.; Escorihuela, L.; Jagiello, K.; Singhal, A.; van der Pol, R.; Bañares, M. A.; Buchete, N.-V.; Calatayud, M.; Dumit, V. I.; Gardini, D.; Jeliazkova, N.; Haase, A.; Marcoulaki, E.; Martorell, B.; Puzyn, T.; Agur Sevink, G.; Simeone, F. C.; Tämm, K.; Chiavazzo, E. A computational view on nanomaterial intrinsic and extrinsic features for nanosafety and sustainability. Materials Today 2023, 67, 344–370. doi:10.1016/j.mattod.2023.05.029
• Yan, X.; Yue, T.; Winkler, D. A.; Yin, Y.; Zhu, H.; Jiang, G.; Yan, B. Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation. Chemical reviews 2023, 123, 8575–8637. doi:10.1021/acs.chemrev.3c00070

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