Analysis of Publically Available Skin Sensitization Data from REACH Registrations 2008–2014
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Alexandra Maertens | Thomas Hartung | Thomas Luechtefeld | Daniel P. Russo | Costanza Rovida | Hao Zhu | Hao Zhu | T. Luechtefeld | Alexandra Maertens | C. Rovida | T. Hartung | A. Maertens
[1] Daniel P. Russo,et al. Global Analysis of Publicly Available Safety Data for 9,801 Substances Registered under REACH from 2008–2014 , 2016, ALTEX.
[2] Nicole Kleinstreuer,et al. Supporting read-across using biological data. , 2016, ALTEX.
[3] Alexandra Maertens,et al. Probabilistic hazard assessment for skin sensitization potency by dose–response modeling using feature elimination instead of quantitative structure–activity relationships , 2015, Journal of applied toxicology : JAT.
[4] Petra S Kern,et al. Assessing skin sensitization hazard in mice and men using non-animal test methods. , 2015, Regulatory toxicology and pharmacology : RTP.
[5] Martina Klaric,et al. Systematic evaluation of non-animal test methods for skin sensitisation safety assessment. , 2015, Toxicology in vitro : an international journal published in association with BIBRA.
[6] Igor Linkov,et al. From "Weight of Evidence" to Quantitative Data Integration using Multicriteria Decision Analysis and Bayesian Methods , 2015, ALTEX.
[7] Sebastian Hoffmann,et al. LLNA variability: An essential ingredient for a comprehensive assessment of non-animal skin sensitization test methods and strategies. , 2015, ALTEX.
[8] Thomas Hartung,et al. Integrated Testing Strategies (ITS) for safety assessment. , 2015, ALTEX.
[9] M. Jacomy,et al. ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software , 2014, PloS one.
[10] Robert J Kavlock,et al. Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms , 2014, Nature Biotechnology.
[11] Richard Morris,et al. Open source software implementation of an integrated testing strategy for skin sensitization potency based on a Bayesian network. , 2014, ALTEX.
[12] Richard A Becker,et al. Read-across approaches--misconceptions, promises and challenges ahead. , 2014, ALTEX.
[13] Richard A. Becker,et al. Food for Thought ... Read-Across Approaches – Misconceptions , Promises and Challenges Ahead , 2014 .
[14] Mardas Daneshian,et al. Consensus report on the future of animal-free systemic toxicity testing. , 2014, ALTEX.
[15] Andrew Worth,et al. Computer models versus reality: how well do in silico models currently predict the sensitization potential of a substance. , 2013, Regulatory toxicology and pharmacology : RTP.
[16] W. Uter,et al. Activation of non‐sensitizing or low‐sensitizing fragrance substances into potent sensitizers – prehaptens and prohaptens , 2013, Contact dermatitis.
[17] Yuri Dancik,et al. Bayesian integrated testing strategy to assess skin sensitization potency: from theory to practice , 2013, Journal of applied toxicology : JAT.
[18] Petra Kern,et al. A dataset on 145 chemicals tested in alternative assays for skin sensitization undergoing prevalidation , 2013, Journal of applied toxicology : JAT.
[19] Setsuya Aiba,et al. Artificial neural network analysis of data from multiple in vitro assays for prediction of skin sensitization potency of chemicals. , 2013, Toxicology in vitro : an international journal published in association with BIBRA.
[20] Silvia Casati,et al. Performance standards and alternative assays: practical insights from skin sensitization. , 2013, Regulatory toxicology and pharmacology : RTP.
[21] D. Roberts,et al. What determines skin sensitization potency–myths, maybes and realities. Part 1. The 500 molecular weight cut‐off , 2013, Contact dermatitis.
[22] Casati Silvia,et al. EURL ECVAM Strategy for Replacement of Animal Testing for Skin Sensitisation Hazard Identification and Classification , 2013 .
[23] Alexandra Maertens,et al. Integrated testing strategies for safety assessments. , 2013, ALTEX.
[24] Howard I. Maibach,et al. Occupational Contact Dermatitis in Hairdressers/Cosmetologists: Retrospective Analysis of North American Contact Dermatitis Group Data, 1994 to 2010 , 2012, Dermatitis : contact, atopic, occupational, drug.
[25] T. Knudsen,et al. A roadmap for the development of alternative (non-animal) methods for systemic toxicity testing. , 2012, ALTEX.
[26] Valérie Zuang,et al. Alternative (non-animal) methods for cosmetics testing: current status and future prospects—2010 , 2011, Archives of Toxicology.
[27] Petra S Kern,et al. Integrating non-animal test information into an adaptive testing strategy - skin sensitization proof of concept case. , 2011, ALTEX.
[28] Kristina Chodorow,et al. MongoDB: The Definitive Guide , 2010 .
[29] Thomas Hartung,et al. Food for thought...on alternative methods for chemical safety testing. , 2010, ALTEX.
[30] Thomas Hartung,et al. Chemical regulators have overreached , 2009, Nature.
[31] Mathieu Bastian,et al. Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.
[32] T. Schultz,et al. Read‐across to rank skin sensitization potential: subcategories for the Michael acceptor domain , 2009, Contact dermatitis.
[33] Sebastian Hoffmann,et al. Food for thought ... on in silico methods in toxicology. , 2009, ALTEX.
[34] Thomas Hartung,et al. Re-evaluation of animal numbers and costs for in vivo tests to accomplish REACH legislation requirements for chemicals - a report by the transatlantic think tank for toxicology (t(4)). , 2009, ALTEX.
[35] S. Enoch,et al. Identification of mechanisms of toxic action for skin sensitisation using a SMARTS pattern based approach , 2008, SAR and QSAR in environmental research.
[36] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[37] Yanli Wang,et al. PubChem: Integrated Platform of Small Molecules and Biological Activities , 2008 .
[38] Thomas Hartung,et al. Food for thought ... on alternative methods for cosmetics safety testing. , 2008, ALTEX.
[39] Allan Linneberg,et al. The epidemiology of contact allergy in the general population – prevalence and main findings , 2007, Contact dermatitis.
[40] T. Schultz,et al. Verification of the structural alerts for Michael acceptors. , 2007, Chemical research in toxicology.
[41] Petra S Kern,et al. TIMES-SS--a promising tool for the assessment of skin sensitization hazard. A characterization with respect to the OECD validation principles for (Q)SARs and an external evaluation for predictivity. , 2007, Regulatory toxicology and pharmacology : RTP.
[42] J Jaworska,et al. How can structural similarity analysis help in category formation? , 2007, SAR and QSAR in environmental research.
[43] J C McDonald,et al. Incidence by occupation and industry of work-related skin diseases in the United Kingdom, 1996-2001. , 2006, Occupational medicine.
[44] Martin Odersky,et al. An Overview of the Scala Programming Language (2. Edition) , 2006 .
[45] Petra S. Kern,et al. Skin Sensitization: Modeling Based on Skin Metabolism Simulation and Formation of Protein Conjugates , 2005, International journal of toxicology.
[46] Alessandro Vespignani,et al. K-core Decomposition: a Tool for the Visualization of Large Scale Networks , 2005, ArXiv.
[47] Sebastian Hoffmann,et al. Skin irritation: prevalence, variability, and regulatory classification of existing in vivo data from industrial chemicals. , 2005, Regulatory toxicology and pharmacology : RTP.
[48] Scott D. Kahn,et al. Current Status of Methods for Defining the Applicability Domain of (Quantitative) Structure-Activity Relationships , 2005, Alternatives to laboratory animals : ATLA.
[49] Stefan Wuchty,et al. Peeling the yeast protein network , 2005, Proteomics.
[50] M. Newman. Analysis of weighted networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[51] Martin Odersky,et al. An Overview of the Scala Programming Language , 2004 .
[52] N. Nikolova,et al. International Union of Pure and Applied Chemistry, LUMO energy ± The Lowest Unoccupied Molecular Orbital (LUMO) , 2022 .
[53] C. Steinbeck,et al. The Chemistry Development Kit (CDK): An Open‐Source Java Library for Chemo‐ and Bioinformatics. , 2003 .
[54] Marc Antezana,et al. Occupational contact dermatitis. , 2003, Immunology and allergy clinics of North America.
[55] Egon L. Willighagen,et al. The Chemistry Development Kit (CDK): An Open-Source Java Library for Chemo-and Bioinformatics , 2003, J. Chem. Inf. Comput. Sci..
[56] S. Kanaya,et al. Prediction of Protein Functions Based on K-Cores of Protein-Protein Interaction Networks and Amino Acid Sequences , 2003 .
[57] Y. Martin,et al. Do structurally similar molecules have similar biological activity? , 2002, Journal of medicinal chemistry.
[58] J. Bos,et al. The 500 Dalton rule for the skin penetration of chemical compounds and drugs , 2000, Experimental dermatology.
[59] S. Anderson,et al. Correspondence to: , 2000 .
[60] M. D. Barratt,et al. Validation and Subsequent Development of the Derek Skin Sensitization Rulebase by Analysis of the BgVV List of Contact Allergens , 1999, J. Chem. Inf. Comput. Sci..
[61] U. Tillmann,et al. A systematic approach for evaluating the quality of experimental toxicological and ecotoxicological data. , 1997, Regulatory toxicology and pharmacology : RTP.
[62] N. Altman. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .
[63] Rae Baxter,et al. Acknowledgments.-The authors would like to , 1982 .