Accepted_test

The virus-host interactions is accompanied by changes in several different systems of human body. The understanding of the molecular mechanisms of interactions between the virus and the host will be helpful for the rational drug design and for the search of novel therapeutic strategies of viral infection treatment.
We developed an integrated approach to the analysis of HIV-host interactions and tested it in a case study of HIV based on machine learning approaches, and text and data mining.
We developed hiv-host platform (https://www.way2drug.com/hiv-host) that integrates comprehensive information about HIV-host interactions and host response on HIV infection including amino acid and nucleotide sequences of HIV isolates, information from scientific publications regarding proteins and genes involved in HIV pathogenesis, transcriptomic data of peripheral blood mononuclear cells from patients with different stages of infection progression. The platform was expanded to include information on other viruses: SARS-CoV-2, hepatitis B and C, influenza A and B, and herpes simple. The platform can be used by both bioinformaticians and systems biologists to search for common mechanisms of the viral infections pathogenesis and to search for novel antiviral agents as well as development of novel therapeutic strategies for viral infection treatment.