University of Tiaret, Algeria
Posters & Accepted Abstracts: Curr Synthetic Sys Biol
The aim of the research work is to increase the performance of a biosensor based on the GSK-3 protein kinase and to improve its performance against biosensors based on existing protein kinases and leucettamine B derivatives. The protein kinases on which we have focused are involved in many biochemical processes and are therefore targets of choice for a large number of major pathologies such as cancer and neurodegenerative diseases. The proteins kinases responsible for these diseases are associated with ionic liquids to test certain properties related to biosensors such as response time, detection threshold, etc. The combination of recent methods of numerical parallel computation with the interpretation of vibration spectra Raman genuine signature leads to a quantity of data that requires intelligent data analysis based on data mining (SVM, component analysis, etc.), the purpose of which is to identify and predict the properties of biosensors in correlation with databases of existing data. The research work included several tasks such as developing database of biosensors of interest based on Raman characterization and other properties of biosensors in order to predict the performance of the biosensor designed.