The mathematical formula to estimate the Exosome Affinity between miRNA-peptide and Exosome: ALGORITHM “CRUZRODRIGUEZ (EA) “

The new coronavirus, formed a clade within the subgenus Orthocoronavirinae, sarbecovirus subfamily. The first time these cases were published they were classified as “pneumonia of unknown etiology.” The Chinese Center for Disease Control and Prevention (CDC) and local CDCs organized an intensive outbreak investigation program. The etiology of this illness is now attributed to a novel virus belonging to the coronavirus (CoV) family, Covid-19. The pandemic caused by a novel virus strain Covid-19, approaches 7,734,000 cases with 429,000 fatalities in 215 countries worldwide. Moreover, a solid second wave in some countries, in cases exceeding the first, ensures that from the clinical range details of the disease, new diagnostics, prevention and treatment strategies remain in the process of development. Unfortunately, for future epidemics insufficient research leading up to purported species-species viral transmission (VT) is disastrous. We have designed a preventive vaccine in Silico aimed to protect against Covid-19 infection and transmission. Our analysis identified 16 microRNA (miRNA) with theorical Exosome Affinity (EA) with peptide among 85.44-92.84 “Ro” range. Due to, the miRNA-peptides, in Silico, manifesting highly affinity with exosomes, ours 16 chimeras could reach a representative activity against the virogenes and cancer disease due to “exosome sequestering” and also, the treatment of cancer diseases due to “podosome depletion” in metastasis stage.