Programs for modeling and simulation of the SARS-COV virus
1 Electrical Engineering of Embedded Systems Laboratory at Amazonas State University, Brazil.
2 Mechanical Engineering of Embedded Systems Laboratory at Amazonas State University, Brazil.
3 Electrical Engineer of Embedded Systems Laboratory at Amazonas State University, Brazil.
4 Embedded Systems Laboratory at Amazonas State University, Brazil.
5 Bachelor in Applied Mathematics at the Embedded Systems Laboratory at Amazonas State University, Brazil.\
Review Article
Global Journal of Engineering and Technology Advances, 2023, 15(02), 019–027.
Article DOI: 10.30574/gjeta.2023.15.2.0066
Publication history:
Received on 24 February 2023; revised on 03 May 2023; accepted on 06 May 2023
Abstract:
Simulation emerges as a valid alternative to studies and analysis of clinical practices in detriment of traditional public health solutions, including for actions to combat the new coronavirus. In this paper, the authors address the programs used in modeling and simulating the behavior and combat of Sars-Cov. The purpose of this approach is to verify the simulation programs, both in theoretical and practical studies, that were used in the current pandemic against this virus through a bibliographic study. For the analysis of the bibliographical reference, articles based on research about simulations of the Sars-Cov virus were selected as a priority, not being limited to the variables of the virus or to the area of action, thus the research focused on biological, mechanical and chemical simulations. The reflection about the results of the research points out that the most used programs in biological and chemical simulations, such as GROMAC and CHARMM are complex and difficult to access; the mechanical programs, on the other hand, are easier to acquire and study (such as ABAQUS), but this one, however, does not focus on the macro analysis of the viral structure, such as nucleus capsids, spikes, among others, but only on the creation of structures and/or equipment to fight the new pandemic. The research showed that the most used programs are paid or exclusive to a specific public, such as the CHARMM tool, which in turn is released only to researchers at Harvard College, limiting the range of researchers who use it.
Keywords:
Biological simulation; Chemical simulation; SARS-COV virus; Sars-Cov virus modeling
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0