Optimizing skin sensitization prediction across activity cliffs: a comparative analysis of K-nearest neighbours vs random Forest. [PDF]
Ukaegbu DC +3 more
europepmc +1 more source
Amino Chemoassay Profiling of Aromatic Aldehydes-Unraveling Drivers of Their Skin Sensitization Potency. [PDF]
Böhme A, Ulrich N, Schüürmann G.
europepmc +1 more source
Accelerating Cosmetic Innovation Through Next-Generation Computational Toxicology: From Structural Alerts to Molecular Dynamics and Artificial Intelligence for Skin Sensitization Assessment. [PDF]
Quintero-Trujillo TE +3 more
europepmc +1 more source
Potency classification of isothiazolinone compounds based on defined approaches of skin sensitization in OECD GL 497. [PDF]
Kim H +10 more
europepmc +1 more source
Systematic validation of graph neural network explanations against adverse outcome pathway reactive centers for skin sensitization. [PDF]
Jeon B.
europepmc +1 more source
Validation of the Epi2SensA Method Using the EpiDerm™ Model for Skin Sensitization Testing Under OECD TG442D. [PDF]
Pellevoisin C +18 more
europepmc +1 more source
Development of an in chemico high-throughput screening method for the identification of skin sensitization potential. [PDF]
Ferreira I +6 more
europepmc +1 more source
Reconfiguring the online tool of SkinSensPred for predicting skin sensitization of pesticides. [PDF]
Wang CC +4 more
europepmc +1 more source
Application of Defined Approaches to Assess Skin Sensitization Potency of Isothiazolinone Compounds. [PDF]
Strickland J +12 more
europepmc +1 more source

