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A quantitative in silico model for predicting skin sensitiz..:
Canipa, Steven J.
;
Chilton, Martyn L.
;
Hemingway, Rachel
...
Journal of Applied Toxicology. 37 (2017) 8 - p. 985-995 , 2017
Link:
https://doi.org/10.1002/jat.3448
RT Journal T1
A quantitative in silico model for predicting skin sensitization using a nearest neighbours approach within expert-derived structure-activity alert spaces
UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_jat.3448&Exemplar=1&LAN=DE A1 Canipa, Steven J. A1 Chilton, Martyn L. A1 Hemingway, Rachel A1 Macmillan, Donna S. A1 Myden, Alun A1 Plante, Jeffrey P. A1 Tennant, Rachael E. A1 Vessey, Jonathan D. A1 Steger-Hartmann, Thomas A1 Gould, Janet A1 Hillegass, Jedd A1 Etter, Sylvain A1 Smith, Benjamin P. C. A1 White, Angela A1 Sterchele, Paul A1 De Smedt, Ann A1 O'Brien, Devin A1 Parakhia, Rahul PB Wiley YR 2017 SN 0260-437X JF Journal of Applied Toxicology VO 37 IS 8 SP 985 OP 995 LK http://dx.doi.org/https://doi.org/10.1002/jat.3448 DO https://doi.org/10.1002/jat.3448 SF ELIB - SuUB Bremen
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