
TL;DR
This paper reviews the application of physical models based on hydropathic domain dynamics and amino acid sequence analysis to study the origins of COVID-19, emphasizing interdisciplinary approaches combining biology and physics.
Contribution
It introduces a physical model of protein evolution using hydropathic domain dynamics and highlights the importance of integrating broad scientific expertise in COVID-19 research.
Findings
Protein evolution can be modeled through hydropathic domain dynamics.
Amino acid sequence analysis provides valuable insights into viral origins.
Interdisciplinary approaches enhance understanding of COVID-19.
Abstract
The titled subject has attracted much interest. Here we summarize the substantial results obtained by a physical model of protein evolution based on hydropathic domain dynamics. In a recent Letter eighteen biologists suggested that the titled subject should be studied in a way inclusive of broad expertise (1). There is an even broader view that has been developed over several decades by physicists (2,3). This view is based on analyzing amino acid sequences of proteins. These sequences are now available on-line at Uniprot, and represent a treasure-trove of data (4).
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Taxonomy
TopicsOrigins and Evolution of Life · Protein Structure and Dynamics · Fractal and DNA sequence analysis
