Project title: Computational modeling for the selection and the prediction of the best natural-derived adjuvant formulation in vaccine discovery process.
Starting date: July, 19th 2013.
Ending date: July, 31st 2016.
Biological functions are the result of the interactions of processes that act on different spatio-temporal scales. The understanding of the pathologies and the development of potential therapeutic interventions requires studies that allow to link the interactions that occur at different levels of scale. This requires an approach based on systems biology and the tools used must be based on effective computational algorithms, developed through approaches that combine experimental and theoretical results. This allows the resolution of concrete problems and the answer to clearly defined questions. The software support system for the selection of molecules and formulations has been designed and implemented through a pre-existing computational infrastructure (already used by the third party research group for other research activities) based on models that simulate the behavior of the immune system in mammals. This software framework, appropriately integrated for the needs of the present research project, allows the simulation of the physiological response of the immune system to specific immune interventions.