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1.
Benchmarking performance of SENS-IS assay against weight of evidence skin sensitization potency categories.
Regul Toxicol Pharmacol
; 130: 105128, 2022 Apr.
Article
in English
| MEDLINE | ID: mdl-35104615
2.
Skin sensitization in silico protocol.
Regul Toxicol Pharmacol
; 116: 104688, 2020 Oct.
Article
in English
| MEDLINE | ID: mdl-32621976
3.
Non-animal methods to predict skin sensitization (I): the Cosmetics Europe database.
Crit Rev Toxicol
; 48(5): 344-358, 2018 05.
Article
in English
| MEDLINE | ID: mdl-29474128
4.
Making reliable negative predictions of human skin sensitisation using an in silico fragmentation approach.
Regul Toxicol Pharmacol
; 95: 227-235, 2018 Jun.
Article
in English
| MEDLINE | ID: mdl-29580972
5.
A quantitative in silico model for predicting skin sensitization using a nearest neighbours approach within expert-derived structure-activity alert spaces.
J Appl Toxicol
; 37(8): 985-995, 2017 08.
Article
in English
| MEDLINE | ID: mdl-28244128
6.
Assessment of the skin sensitization potential of fragrance ingredients using the U-SENS™ assay.
Toxicol In Vitro
; 79: 105298, 2022 Mar.
Article
in English
| MEDLINE | ID: mdl-34902536
7.
Fragrances Categorized According to Relative Human Skin Sensitization Potency.
Dermatitis
; 28(5): 299-307, 2017.
Article
in English
| MEDLINE | ID: mdl-28691948
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