國家衛生研究院 NHRI:Item 3990099045/14700
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    题名: Reconfiguring the online tool of SkinSensPred for predicting skin sensitization of pesticides
    作者: Wang, CC;Wang, SS;Liao, CL;Tsai, WR;Tung, CW
    贡献者: Institute of Biotechnology and Pharmaceutical Research
    摘要: Adverse outcome pathway (AOP)-based computational models provide state-of-the-art prediction for human skin sensitizers and are promising alternatives to animal testing. However, little is known about their applicability to pesticides due to scarce pesticide data for evaluation. Moreover, pesticides traditionally have been tested on animals without human data, making validation difficult. Direct application of AOP-based models to pesticides may be inappropriate since their original applicability domains were designed to maximize reliability for human response prediction on diverse chemicals but not pesticides. This study proposed to identify a consensus chemical space with concordant human responses predicted by the SkinSensPred online tool and animal testing data to reduce animal testing. The identified consensus chemical space for non-sensitizers achieved high concordance of 85% and 100% for the cross-validation and independent test, respectively. The reconfigured SkinSensPred can be applied as the first-tier tool for identifying non-sensitizers to reduce. animal testing for pesticides by 19.6%.
    日期: 2022-11-20
    關聯: Journal of Pesticide Science. 2022 Nov 20;47(4):184-189.
    Link to: http://dx.doi.org/10.1584/jpestics.D22-043
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1348-589X&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000895151900003
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85143789084
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