Abstract: The present invention relates to cobicistat and its derivatives or prodrugs for use in the prophylaxis and/or treatment of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection, severe acute respiratory syndrome coronavirus (SARS-CoV) infection and/or Middle East respiratory syndrome coronavirus (MERS-CoV) infection. The present invention further relates to methods of prevention and/or treatment of SARS-CoV-2 infection.

Abstract: Computational prediction of immunogenic epitopes is a promising platform for designing therapeutic and preventive vaccines. A potential target is, for example, the human immunodeficiency virus (HIV-1) for which, despite decades of efforts, no vaccine is available. Indeed, due to the enormous variability of the virus, a single formulation effective against all or most HIV strains might not be achievable. Moreover, upon infecting host cells, HIV-1 can integrate in the host genome and form long lasting latent reservoirs that are not susceptible to common antiretroviral treatments. Therefore, a therapeutic vaccine designed to eliminate infected cells might represent a key component of strategies aimed at curing the infection. We herein introduce an automated algorithm to produce personalized and population-based vaccines.