Like a summer storm: Biothermodynamic analysis of Rotavirus A - Empirical formula, biosynthesis reaction and driving force of virus multiplication and antigen-receptor binding
Marko E. Popović, Gavrilo Šekularac, Marija Mihailović
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引用次数: 0
Abstract
For thousands of years, medicine has made efforts to study and heal infectious diseases. For centuries, medicine and biology have attempted to study the mechanisms of development of infectious diseases. For 100 years, virology has tried to understand and describe different viruses and reveal the secrets of pathophysiology of infections. Several decades ago, the efforts of biomedical scientists were joined by chemists. Since then viruses have been explored not only as biological systems, but also as chemical systems. With the beginning of the COVID-19 pandemic, biothermodynamics has made its contribution to the research on driving forces and mechanisms of lifecycles of viruses, the virus-host interaction. Since then, viruses have been analyzed as biological, chemical and thermodynamic systems. After reporting of chemical and thermodynamic properties of SARS-CoV, MERS-CoV, SARS-CoV-2, Ebola, Mpox, West Nile virus and bacteriophages, this paper reports for the first time the empirical formulas (unit carbon formulas) of Rotavirus A, as well as its thermodynamic properties of virus-host interaction at the membrane (antigen-receptor binding) and virus-host interaction in the cytoplasm (virus multiplication). The virus-host interactions are essentially chemical reactions, the driving force of which is Gibbs energy (of binding and biosynthesis).
期刊介绍:
The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.