Items where Author is "Richarz, A-N"
 | Up a level |
Article
Yang, C, Cronin, MTD, Arvidson, K, Bienfait, B, Enoch, SJ, Heldreth, B, Hobocienski, B, Muldoon-Jacobs, K, Lan, Y, Madden, JC, Magdziarz, T, Marusczyk, J, Mostrag, A, Nelms, MD, Przybylak, KR, Rathman, JF, Richarz, A-N, Richard, AM, Ribeiro, JV, Sacher, O , Schwab, C, Vitcheva, P, Volarath, P and Worth, AP (2021) COSMOS Next Generation – a public knowledge base leveraging chemical and biological data to support the regulatory assessment of chemicals. Computational Toxicology, 19. ISSN 2468-1113
Cronin, MTD, Richarz, A-N and Schultz, T (2019) Identification and Description of the Uncertainty, Variability, Bias and Influence in Quantitative Structure-Activity Relationships (QSARs) for Toxicity Prediction. Regulatory Toxicology and Pharmacology, 106. pp. 90-104. ISSN 0273-2300
Desprez, B, Birk, B, Blaauboer, B, Boobis, A, Carmichael, P, Cronin, MTD, Curie, R, Daston, G, Hubesch, B, Jennings, P, Klaric, M, Kroese, D, Mahony, C, Ouédraogo, G, Piersma, A, Richarz, A-N, Schwarz, M, van Benthem, J, van de Water, B and Vinken, M (2019) A mode-of-action ontology model for safety evaluation of chemicals: outcome of a series of workshops on repeated dose toxicity. Toxicology In Vitro. pp. 44-50. ISSN 0887-2333
Schultz, TW, Richarz, A-N and Cronin, MTD (2018) Assessing Uncertainty in Read-Across: Questions to Evaluate Toxicity Predictions Based on Knowledge Gained from Case Studies. Computational Toxicology. ISSN 2468-1113
Tsakovska, I, Pajeva, I, Al Sharif, M, Alov, P, Fioravanzo, E, Kovarich, S, Worth, AP, Richarz, A-N, Yang, C, Mostrag-Szlichtyng, A and Cronin, MTD (2017) Quantitative Structure - Skin permeability Relationships. Toxicology, 387. pp. 27-42. ISSN 0300-483X
Benito, JVS, Paini, A, Richarz, A-N, Meinl, T, Berthold, MR, Cronin, MTD and Worth, AP (2017) Automated workflows for modelling chemical fate, kinetics and toxicity. Toxicology In Vitro. ISSN 0887-2333
Robinson, RLM, Cronin, MTD, Richarz, A-N and Rallo, R (2015) An ISA-TAB-Nano based data collection framework to support data-driven modelling of nanotoxicology. BEILSTEIN JOURNAL OF NANOTECHNOLOGY, 6. pp. 1978-1999. ISSN 2190-4286
Richarz, A-N, Madden, JC, Marchese Robinson, RL, Lubiński, Ł, Mokshina, E, Urbaszek, P, Kuz׳min, VE, Puzyn, T and Cronin, MTD (2015) Development of computational models for the prediction of the toxicity of nanomaterials. Perspectives in Science, 3 (1-4). pp. 27-29. ISSN 2213-0209