Predictive database to determine the toxicological profile of Natural Complex Substances - Plants extracts
This project aims to establish the toxicoligical profile of every plant extract based on its composition. The idea is to gather, within the same predictive database, all the knowledge published on molecular groups and the toxicological data collected by the industry, extracts manufacturers and cosmetic companies. Aiming in the long-term to provide a "Predictive database to determine the toxicological profile of Natural Complex Substances - Plants extracts", the project is very important for all stakeholders involved in the manufacture and use of plants and plant extracts, and especially for cosmetic and nutraceutical industries. The innovative feature of this project lies in its creation of a predictive database containing toxicological profiles of NCSs, which are obtained from safety data and information on their constituents.
In the first stage of the project, expected to last for 13 months, the aim is to study 90 molecular groups in botanicals to determine their level of risk regarding genotoxicity, systemic toxicity and sensitization endpoints. The evaluation will be based on existing data, text mining, in silico models and expertise, their level of risk regarding genotoxicity, systemic toxicity and sensitization endpoints. Upon completion of the whole project, the NCS TOX predictive database will enable the update and creation of toxicological profiles of botanical extracts, and will facilitate the delvelopment of safety reports pertaining to finished products.