| Abstract: | Human papillomaviruses (HPVs) belongs to the Papillomaviridae family, which is divided into high-risk (HR), and low-risk (LR) HPVs based on their disease-causing competence. HR-HPVs 16 and 18 are known to cause distinct carcinomas like cervical and head and neck, whereas LR-HPVs are commonly associated with the genital warts. We have developed an integrative platform; HPVomics dedicated to the potential therapeutic regimens targeting all HPV genes including oncoproteins E6, E7 and E5. We primarily focused on eighteen HR-HPVs and eleven LR-HPVs. It mainly deals with therapeutically imperative elements, i.e., vaccine epitopes, siRNAs, sgRNAs, and anti-viral peptides. Simultaneously, it also comprises of genome browser, whole-genome sequences and annotation of HPVs with searching and filtering capabilities. Moreover, we have also developed an integrated support vector machine (SVM) based computational algorithm “HPVepi” for the prediction of HPV epitome. We hope that HPVomics (http://bioinfo.imtech.res.in/manojk/hpvomics/) will assist the scientific community engaged in HPV research. |
