Applicability of in silico models for the prediction of the sensitization potential of industrial chemicals

被引:0
|
作者
Teubner, Wera [1 ]
Mehling, Annette [2 ]
Schuster, Paul Xaver [3 ]
Guth, Katharina [3 ]
Worth, Andrew [4 ]
Burton, Julien [4 ]
van Ravenzwaay, Bennard [3 ]
Landsiedel, Robert [3 ]
机构
[1] BASF Schweiz AG, Basel, Switzerland
[2] BASF Personal Care & Nutr GmbH, Dusseldorf, Germany
[3] BASF SE, Ludwigshafen, Germany
[4] European Commiss, Joint Res Ctr, Inst Hlth & Consumer Protect, Ispra, Italy
关键词
D O I
10.1016/j.toxlet.2013.05.480
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
引用
收藏
页码:S204 / S204
页数:1
相关论文
共 50 条
  • [1] AN IN SILICO ALGAL TOXICITY MODEL WITH A WIDE APPLICABILITY POTENTIAL FOR INDUSTRIAL CHEMICALS AND PHARMACEUTICALS
    Onlu, Serli
    Sacan, Melek Turker
    ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 2017, 36 (04) : 1012 - 1019
  • [2] Evaluation of in silico tools to predict the skin sensitization potential of chemicals
    Verheyen, G. R.
    Braeken, E.
    Van Deun, K.
    Van Miert, S.
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2017, 28 (01) : 59 - 73
  • [3] What works best for predicting human skin sensitization potential of chemicals: In vitro data or in silico models?
    Alves, Vinicius
    Capuzzi, Stephen
    Muratov, Eugene
    Braga, Rodolpho
    Thornton, Thomas
    Fourches, Denis
    Strickland, Judy
    Kleinstreuer, Nicole
    Andrade, Carolina
    Tropsha, Alexander
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 253
  • [4] VirtualToxLab - in silico prediction if the toxic potential of drugs and chemicals
    Vedani, Angelo
    Smiesko, Martin
    TOXICOLOGY LETTERS, 2013, 221 : S52 - S52
  • [5] Characterization of dermal sensitization potential for industrial or agricultural chemicals with EpiSensA
    Mizumachi, Hideyuki
    LeBaron, Matthew J.
    Settivari, Raja S.
    Miyazawa, Masaaki
    Marty, Mary Sue
    Sakaguchi, Hitoshi
    JOURNAL OF APPLIED TOXICOLOGY, 2021, 41 (06) : 915 - 927
  • [6] In silico prediction of serious eye irritation or corrosion potential of chemicals
    Wang, Qin
    Li, Xiao
    Yang, Hongbin
    Cai, Yingchun
    Wang, Yinyin
    Wang, Zhuang
    Li, Weihua
    Tang, Yun
    Liu, Guixia
    RSC ADVANCES, 2017, 7 (11) : 6697 - 6703
  • [7] VirtualToxLab -: in silico prediction of the endocrine-disrupting potential of drugs and chemicals
    Vedani, Angelo
    Spreafico, Morena
    Peristera, Ourania
    Dobler, Max
    Smiesko, Martin
    CHIMIA, 2008, 62 (05) : 322 - 328
  • [8] The VEGA Tool to Check the Applicability Domain Gives Greater Confidence in the Prediction of In Silico Models
    Danieli, Alberto
    Colombo, Erika
    Raitano, Giuseppa
    Lombardo, Anna
    Roncaglioni, Alessandra
    Manganaro, Alberto
    Sommovigo, Alessio
    Carnesecchi, Edoardo
    Dorne, Jean-Lou C. M.
    Benfenati, Emilio
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (12)
  • [9] Computational prediction models for assessing endocrine disrupting potential of chemicals
    Sakkiah, Sugunadevi
    Guo, Wenjing
    Pan, Bohu
    Kusko, Rebecca
    Tong, Weida
    Hong, Huixiao
    JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART C-ENVIRONMENTAL CARCINOGENESIS & ECOTOXICOLOGY REVIEWS, 2018, 36 (04): : 192 - 218
  • [10] Keratinocytes Improve Prediction of Sensitization Potential and Potency of Chemicals with THP-1 Cells
    Hennen, Jennifer
    Bloemeke, Brunhilde
    ALTEX-ALTERNATIVES TO ANIMAL EXPERIMENTATION, 2017, 34 (02) : 279 - 288