Green synthesis of compounds of pharmaceutical interest supported by artificial intelligence
In this project, undertaken in the current year as part of a PON project concerning the GREEN thematic area, statistical methodology and computational modelling will be exploited for the design of green chemical reactions, capable of providing molecules of pharmaceutical interest with a low environmental impact and reduced costs. Through a combined approach, algorithms will be described that identify possible green reactions within the network of all known reactions and subsequently it will be demonstrated that the predicted sequences can be performed experimentally, with a reduction in the number of experiments and the environmental impact. In particular, we investigate GSK-3𝛽, a constitutively active and ubiquitously expressed serine/threonine protein kinase. GSK-3𝛽 is a promising target for the development of an effective disease modifying treatment in Alzheimer’s disease (AD).