Читать книгу Bioinformatics and Medical Applications - Группа авторов - Страница 67

In this chapter, we describe the main molecular features of SARS-CoV-2 that cause COVID-19 disease, as well as a high-efficiency computational prediction called Polarity Index Method^®. We also introduce a molecular classification of the RNA virus and DNA virus families and two main classifications: supervised and non-supervised algorithms of the predictions of the predominant function of proteins. Finally, some results obtained by the proposed non-supervised method are given, as well as some particularities found about the linear representation of proteins.

Keywords: Adenoviridae, advantages, algorithms, Anelloviridae, Arenaviridae, Caliciviridae, computational predictions, Coronaviridae family, disadvantages, DNA virus, Herpesviridae, Herpesviridae, linear representation, non-supervised algorithms, Papillomaviridae, Parvoviridae, Picornaviridae, PIM^® profile, Polarity Index Method^®, Poxviridae, putative proteins, Reoviridae, Rhabdoviridae, RNA virus, SARS-CoV-2, supervised algorithms