Correspondence analysis of the skin sensitization potential of organic chemicals

被引:7
|
作者
Cronin, MTD
Dearden, JC
机构
[1] School of Pharmacy and Chemistry, Liverpool John Moores University, Liverpool, L3 3AF, Byrom Street
来源
关键词
QSAR; guinea pig maximization test; structural alerts;
D O I
10.1002/qsar.19970160106
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Correspondence analysis is a variant of principal component analysis for use with categoric data. It has been applied to information describing the frequencies of structural certain molecular features and the skin sensitization potential of a database of organic compounds. Correspondence analysis allows the graphical study of the interrelationship between the relative frequency of structural features of non, weak, moderate and strong sensitizers and the individual class membership. Structural features resulting in protein reactivity are shown to be strongly associated with strong sensitizers; other features, not related to reactivity, are associated with non, or weak, sensitizers. The analysis also indicates structural features whose description is too vague and needs more refinement.
引用
收藏
页码:33 / 37
页数:5
相关论文
共 50 条
  • [21] Chemicals in fabrics as potential skin irritants
    Cox, HE
    BRITISH JOURNAL OF DERMATOLOGY AND SYPHILIS, 1942, 54 (01): : 22 - 31
  • [22] LC-MS-Based Characterization of the Peptide Reactivity of Chemicals to Improve the In Vitro Prediction of the Skin Sensitization Potential
    Natsch, Andreas
    Gfeller, Hans
    TOXICOLOGICAL SCIENCES, 2008, 106 (02) : 464 - 478
  • [23] Skin sensitizers induce antioxidant response element dependent genes:: Application to the in vitro testing of the sensitization potential of chemicals
    Natsch, Andreas
    Emter, Roger
    TOXICOLOGICAL SCIENCES, 2008, 102 (01) : 110 - 119
  • [24] Skin sensitizers induce antioxidant response element dependent genes: Application to the in vitro testing of the sensitization potential of chemicals
    Natsch, Andreas
    Emter, Roger
    Ellis, Graham
    TOXICOLOGY LETTERS, 2008, 180 : S101 - S101
  • [25] Is skin penetration a determining factor in skin sensitization potential and potency? Refuting the notion of a LogKow threshold for skin sensitization
    Fitzpatrick, Jeremy M.
    Roberts, David W.
    Patlewicz, Grace
    JOURNAL OF APPLIED TOXICOLOGY, 2017, 37 (01) : 117 - 127
  • [26] Read-across-based intelligent learning: development of a global q-RASAR model for the efficient quantitative predictions of skin sensitization potential of diverse organic chemicals
    Banerjee, Arkaprava
    Roy, Kunal
    ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS, 2023, 25 (10) : 1626 - 1644
  • [27] 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
  • [28] Applicability of in silico models for the prediction of the sensitization potential of industrial chemicals
    Teubner, Wera
    Mehling, Annette
    Schuster, Paul Xaver
    Guth, Katharina
    Worth, Andrew
    Burton, Julien
    van Ravenzwaay, Bennard
    Landsiedel, Robert
    TOXICOLOGY LETTERS, 2013, 221 : S204 - S204
  • [29] Dichloronitrobenzene: A reappraisal of its skin sensitization potential
    Basketter, DA
    Scholes, EW
    Fielding, I
    Dearman, RJ
    Hilton, J
    Kimber, I
    CONTACT DERMATITIS, 1996, 34 (01) : 55 - 58
  • [30] Pred-Skin: A Fast and Reliable Web Application to Assess Skin Sensitization Effect of Chemicals
    Braga, Rodolpho C.
    Alves, Vinicius M.
    Muratov, Eugene N.
    Strickland, Judy
    Kleinstreuer, Nicole
    Trospsha, Alexander
    Andrade, Carolina Horta
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2017, 57 (05) : 1013 - 1017