Bioinformatics and Medical Applications

Because of the huge measure of individual data that should be overseen, data stockpiling and security are additionally vital when managing medical care. For all of this, choosing purely local administration, especially for mobility, is not yet practical due to limited processing and storage capabilities.

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*Corresponding author: rohit.rastogi@abes.ac.in

Carlos Polanco1,2*, Manlio F. Márquez3 and Gilberto Vargas-Alarcón4

1 Department of Electromechanical Instrumentation, Instituto Nacional de Cardiología “Ignacio Chávez”, México City, México

2 Department of Mathematics, Faculty of Sciences, Universidad Nacional Autónoma de México, México City, México

3 Clinical Research Center, Instituto Nacional de Cardiología “Ignacio Chávez”, México City, México

4 Research Center, Instituto Nacional de Cardiología “Ignacio Chávez”, México City, México

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

The discipline called Proteomics focuses, among other things, on the prediction of the predominant function of proteins, since this enables their construction by alteration or removal of their amino acids, either in its linear or in its three-dimensional representation.

This means some benefits for scholars of this discipline; since from these modifications, it is possible to obtain, mostly by accident, proteins with improved toxic action toward some pathogen.

Of course, it does not mean that there are no proteins or peptides in nature that have the toxic action we are looking for, it is just that in most cases, it is less expensive to try to manufacture one than to find it among the many organisms in nature.