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1.	Martens, M, et al. (author) ELIXIR and Toxicology: a community in development 2021 In: F1000Research. - 2046-1402. ; 10 Journal article (peer-reviewed)
2.	Afantitis, A, et al. (author) NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment 2020 In: Computational and structural biotechnology journal. - : Elsevier BV. - 2001-0370. ; 18, s. 583-602 Journal article (peer-reviewed)
3.	Jeliazkova, N, et al. (author) A template wizard for the cocreation of machine-readable data-reporting to harmonize the evaluation of (nano)materials 2024 In: Nature protocols. - 1750-2799. Journal article (peer-reviewed)
4.	Kilic, G, et al. (author) eNanoMapper - A database and ontology framework for design and safety assessment of nanomaterials 2016 In: TOXICOLOGY LETTERS. - : Elsevier BV. - 0378-4274. ; 258, s. S118-S119 Conference paper (other academic/artistic)
5.	Kohonen, P, et al. (author) A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury 2017 In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 8, s. 15932- Journal article (peer-reviewed)abstract Predicting unanticipated harmful effects of chemicals and drug molecules is a difficult and costly task. Here we utilize a ‘big data compacting and data fusion’—concept to capture diverse adverse outcomes on cellular and organismal levels. The approach generates from transcriptomics data set a ‘predictive toxicogenomics space’ (PTGS) tool composed of 1,331 genes distributed over 14 overlapping cytotoxicity-related gene space components. Involving ∼2.5 × 108 data points and 1,300 compounds to construct and validate the PTGS, the tool serves to: explain dose-dependent cytotoxicity effects, provide a virtual cytotoxicity probability estimate intrinsic to omics data, predict chemically-induced pathological states in liver resulting from repeated dosing of rats, and furthermore, predict human drug-induced liver injury (DILI) from hepatocyte experiments. Analysing 68 DILI-annotated drugs, the PTGS tool outperforms and complements existing tests, leading to a hereto-unseen level of DILI prediction accuracy.
6.	Krans, NA, et al. (author) FAIR assessment tools: evaluating use and performance 2022 In: NanoImpact. - : Elsevier BV. - 2452-0748. ; 27, s. 100402- Journal article (peer-reviewed)
7.	Marshall, MS, et al. (author) Emerging practices for mapping and linking life sciences data using RDF - A case series 2012 In: JOURNAL OF WEB SEMANTICS. - : Elsevier BV. - 1570-8268. ; 14, s. 2-13 Journal article (other academic/artistic)
8.	Martens, M, et al. (author) Introducing WikiPathways as a Data-Source to Support Adverse Outcome Pathways for Regulatory Risk Assessment of Chemicals and Nanomaterials 2018 In: Frontiers in genetics. - : Frontiers Media SA. - 1664-8021. ; 9, s. 661- Journal article (peer-reviewed)
9.	Truszkowski, A, et al. (author) New developments on the cheminformatics open workflow environment CDK-Taverna 2011 In: Journal of cheminformatics. - : Springer Science and Business Media LLC. - 1758-2946. ; 3, s. 54- Journal article (peer-reviewed)
10.	Willighagen, EL, et al. (author) Resource description framework technologies in chemistry 2011 In: Journal of cheminformatics. - : Springer Science and Business Media LLC. - 1758-2946. ; 3:1, s. 15- Journal article (peer-reviewed)

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Type of publication: journal article (9); conference paper (1)

Type of content: peer-reviewed (8); other academic/artistic (2)

Author/Editor: Nymark, P (6); Kohonen, P (3); Sarimveis, H (3); Grafstrom, R (3); Martens, M. (2); Doganis, P (2); show more...; Willighagen, E (2); Puzyn, T (2); Dusinska, M (2); Longhin, E (2); Runden-Pran, E (2); El Yamani, N (2); Sanz, F (1); Wheelock, CE (1); Greco, D (1); Boyce, R (1); Chang, J (1); Afantitis, A (1); Melagraki, G (1); Isigonis, P (1); Tsoumanis, A (1); Varsou, DD (1); Valsami-Jones, E (1); Papadiamantis, A (1); Ellis, LJA (1); Karatzas, P (1); Tsiros, P (1); Liampa, I (1); Lobaskin, V (1); Serra, A (1); Kinaret, PAS (1); Saarimaki, LA (1); Rybinska-Fryca, A (1); Lyubartsev, A (1); Jensen, KA (1); Brandenburg, JG (1); Lofts, S (1); Svendsen, C (1); Harrison, S (1); Maier, D (1); Tamm, K (1); Janes, J (1); Sikk, L (1); Mariussen, E (1); Unger, W (1); Radnik, J (1); Tropsha, A (1); Cohen, Y (1); Leszczynski, J (1); Hendren, CO (1); show less...

University: Karolinska Institutet (10)

Language: English (10)

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