scholarly journals COVID-19: Energy landscape theory of SARS-CoV-2 complexes with Particulate Matter

2020 ◽  
Author(s):  
Gianluigi Zangari del Balzo

In the past few days, the global scientific community has made much progress in research for the COVID-19 pandemic, but the new SARS-CoV-2 coronavirus has not yet been correctly characterized thermodynamically and much is still unknown. In particular, the current SARS-CoV-2 models lack the characterization of the virus system within its environment. This is a serious systematic error, which stands in the way of impeding research into the pandemic.In the present work, therefore, we consider the SARS-CoV-2 system with its environment, and we give a correct thermodynamic definition, through analysis and simulations, from air transport to cellular entry through the mechanism of receptor- mediated endocytosis.In studying the aerosol environment of the SARS-CoV-2 virus, we cannot omit the presence of nanoparticles or dust.Therefore, analyzing and comparing the air environments in China and Italy, we note that the Chinese and Italian regions which were at the beginning the most affected by the pandemic are also the most polluted. The same phenomenon is happening today for the United States and Brazil.We therefore propose an energy landscape theory of synergistic complexes of SARS- CoV-2 with particulate matter (PM).This could explain the optimized strategy of deep penetration of interstitial lung cells and the rapid spread of the pandemic in the most polluted areas of the planet. It could also explain the severity and difficulty of treating the forms of interstitial pneumonia occurred in Italy and worldwide.The energy landscape theory of complexes of SARS-CoV-2 with particulate matter (PM), leads to crucial methodological constraints aimed at containing systematic errors in experimental laboratory procedures and in mathematical modeling, which can allow and accelerate the definition of the mechanism of action of the virus and therefore the realization of the appropriate therapies and health protocols.

2020 ◽  
Vol 30 (12) ◽  
pp. 1953-1964 ◽  
Author(s):  
Elizabeth M. Glowacki ◽  
Mary Anne Taylor

The Ebola virus had only been in the United States for 2 months before it became a major national health concern. However, while some citizens panicked about the looming health crisis, others remained calm, offering explanations for why a rapid spread of the virus was unlikely. Examining the distinctions between these different reactions can contribute to a better understanding of the coping strategies citizens use when facing a health crisis. We consider how citizens respond to fear by focusing on whether or not hyperbolic rhetoric was used as a means for processing and managing fear. Approximately 400 tweets and Facebook posts from the Centers for Disease Control and Prevention, the White House, and The Alex Jones Show were examined to make conclusions about how citizens respond to messages from these mediated forums. At the intersection of health communication and critical rhetoric, we advance an operational definition of health hyperbolism derived from public response to opinion leaders. Ultimately, we find that health hyperbolism contains language illustrative of distrust, blame, anger, misrepresentation, conspiracy, and curiosity.


2014 ◽  
Vol 54 (8-9) ◽  
pp. 1311-1337 ◽  
Author(s):  
Nicholas P. Schafer ◽  
Bobby L. Kim ◽  
Weihua Zheng ◽  
Peter G. Wolynes

2021 ◽  
Author(s):  
Ryan R. Cheng ◽  
Esteban Dodero-Rojas ◽  
Michele Di Pierro ◽  
José Nelson Onuchic

We explore the energetic frustration patterns associated with the binding between the SARS-CoV-2 spike protein and the ACE2 receptor protein in a broad selection of animals. Using energy landscape theory and the concept of energy frustration—theoretical tools originally developed to study protein folding—we are able to identify interactions among residues of the spike protein and ACE2 that result in COVID-19 resistance. This allows us to identify whether or not a particular animal is susceptible to COVID-19 from the protein sequence of ACE2 alone. Our analysis predicts a number of experimental observations regarding COVID-19 susceptibility, demonstrating that this feature can be explained, at least partially, on the basis of theoretical means.


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