Prediction of Skin Sensitization by in-silico tools : Today and future

Ritushree Biswas, Sarra Akermi, Sunil Jayant

Abstract


In this article we lay emphasis on using in-silico methods to identify substances for their skin sensitization potential. In vivo animal tests require huge time, constrained by ethical considerations and financial burden. To avoid such problems involved in animal models like LLNA, GPMT and h-CLAT assay computational methods are developed. In view of discussing the advantage of in-silico methods over in vivo animal testing methods in this article we have chosen model like QSAR and three expert systems viz VEGA, Derek Nexus and TIMES-SS and assessed their performance by the use of NICEATM LLNA database.

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