2476-213X

Journal of Clinical Infectious Diseases & Practice
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  • Editorial   
  • J Clin Infect Dis Pract 2023, Vol 8(4): 195
  • DOI: 10.4172/2476-213X.1000195

Predicting Protein Intrinsic Disorder in Coronaviruses for Insights into Viral Transmission

Satishchandra Kumar*
Psychiatry and Inflammation Program, Department of Psychiatry, Tufts Medical Center, Tufts University, Boston, USA
*Corresponding Author: Satishchandra Kumar, Kumar, Psychiatry and Inflammation Program, Department of Psychiatry, Tufts Medical Center, Tufts University, Boston, USA, Email: satishk@hotmail.com

Received: 03-Jul-2023 / Manuscript No. jcidp-23-107747 / Editor assigned: 05-Jul-2023 / PreQC No. jcidp-23-107747 / Reviewed: 19-Jul-2023 / QC No. jcidp-23-107747 / Revised: 25-Jul-2023 / Manuscript No. jcidp-23-107747 / Published Date: 31-Jul-2023 DOI: 10.4172/2476-213X.1000195

Abstract

Coronaviruses have emerged as a global health threat due to their ability to cause severe respiratory infections, as exemplified by the COVID-19 pandemic. Understanding the molecular mechanisms underlying viral transmission is crucial for developing effective strategies to control outbreaks. In this article, we explore the role of protein intrinsic disorder in coronaviruses and its potential impact on viral transmission. We discuss the use of bioinformatics tools to predict intrinsic disorder in viral proteins and its implications for viral replication, host interactions, and immune evasion. By gaining insights into the structural dynamics of coronaviruses, we hope to provide a basis for developing targeted therapies and preventive measures against future coronavirus outbreaks.

This categorization enables quick identification of viruses with similar behaviors in transmission, regardless of genetic proximity. Based on this analysis, an empirical model for predicting the viral transmission behavior is developed. This model is able to explain some behavioral aspects of important coronaviruses that previously were not fully understood. The new predictor can be a useful tool for better epidemiological, clinical, and structural understanding of behavior of both newly emerging viruses and viruses that have been known for a long time.

Keywords

Coronaviruses; Protein intrinsic disorder; Viral transmission

Introduction

Coronaviruses, a family of enveloped RNA viruses, have gained global attention due to the outbreaks caused by severe acute respiratory syndrome coronavirus, Middle East respiratory syndrome coronavirus, and the novel coronavirus SARS-CoV-2 responsible for COVID-19. The ability of these viruses to rapidly transmit among humans necessitates a deeper understanding of their molecular mechanisms, particularly their protein structures and behaviors. In this article, we delve into the concept of protein intrinsic disorder and its potential implications for the viral transmission of coronaviruses [1].

The HIV and EIAV viruses, that are related but have distinctly different modes of transmission, were used to illustrate this point since. HIV is largely transmitted sexually, whereas EIAV is transmitted by a blood-sucking horsefly. It has been observed that the abundance of predicted intrinsic disorder (PID) in the HIV and EIAV matrix proteins was very different, with the HIV proteins being highly disordered, especially HIV-1. An explanation for this has to do with the need for a more rigid encasement in viruses that are not sexually transmitted, so as to protect the virion from harsher environmental factors [2].

Protein intrinsic disorder in viral proteins

Proteins in coronaviruses play a crucial role in viral replication, host interactions, and immune evasion. Intriguingly, many viral proteins possess regions of intrinsic disorder, characterized by the lack of stable secondary or tertiary structures. These disordered regions are flexible and versatile, enabling proteins to interact with various cellular partners, which may facilitate viral transmission and replication.

Predicting intrinsic disorder in coronaviruses proteins

Advancements in bioinformatics have provided powerful tools for predicting intrinsic disorder in protein sequences. By employing algorithms such as PONDR, IUPred, and DISOPRED, researchers can identify and characterize disordered regions in coronaviral proteins. Analyzing the distribution and properties of intrinsic disorder within viral proteins can offer insights into their functional roles during the viral life cycle [3].

Implications of protein intrinsic disorder on viral transmission

The presence of intrinsic disorder in coronaviruses' structural and non-structural proteins has been associated with several crucial processes, including viral entry, replication, and evasion of host immune responses. Understanding the role of intrinsic disorder in viral transmission can shed light on the molecular determinants of virulence and pathogenesis.

Targeting intrinsic disorder for therapeutic interventions The flexible nature of intrinsically disordered regions makes them challenging targets for traditional drug design [4]. However, novel approaches, such as small molecule inhibitors or peptides that mimic key interactions, could be developed to disrupt critical protein-protein interactions involving disordered regions, thereby inhibiting viral transmission.

Discussion

In fact, there is a correlation between the PID levels and the localization of surface proteins, with proteins located closer to the virion surface being generally more rigid than other surface proteins [5, 6]. Generally, the stepwise decrease in the PIDs is seen for all viral nucleocapsid, capsid, and matrix proteins analyzed so far.

Disorder peculiarities can be potentially mapped to the transmission behavior and the nature of the viruses. It can be seen that in comparison with other viruses, the coronaviruses possess a tendency to be more ordered at the level of the matrix proteins [7], but their nucleocapsid proteins are generally more disordered than nucleocapsid proteins RNA viruses in general. The fact that both influenza viruses and coronaviruses have high predicted disorder in their nucleocapsid proteins suggests that higher nucleocapsid disorder may be necessary for viruses with ability to spread via respiratory means. Further support for this hypothesis will be presented below as we inspect and categorize the various coronaviruses. Past analysis showed that many viruses that spread by respiratory modes are characterized by disordered shell proteins [8].

Obviously, the environmental conditions associated with the respiratory transmission are less harsh than those seeing in the fecaloral transmission mode. However, the viruses that are spread via the respiratory mode might experience greater environmental pressure during transmission and they have to be able to adjust to a greater range of environmental changes to survive and to be successfully transmitted [9]. This ability of the respiratory transmitted viruses to adjust and survive in a wide range of conditions can be due to the higher levels of intrinsic disorder in their shell proteins. In other words, shell proteins of these viruses are assembled into a flexible shield, the pliability of which helps viruses to rapidly adjust to the environmental changes. Table 3 supports this hypothesis by showing that for several viruses analyzed, there is a noticeable correlation between the level of disorder in the shell proteins and the transmission mode [10].

Conclusion

Predicting protein intrinsic disorder in coronaviruses provides valuable insights into their structural dynamics and functional roles during viral transmission. Understanding the molecular basis of viral transmission can guide the development of targeted therapies and preventive strategies to combat future coronavirus outbreaks. By harnessing the power of bioinformatics and structural biology, we aim to make significant strides in mitigating the impact of coronaviruses on global health.

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Citation: Kumar S (2023) Predicting Protein Intrinsic Disorder in Coronaviruses for Insights into Viral Transmission. J Clin Infect Dis Pract, 8: 195. DOI: 10.4172/2476-213X.1000195

Copyright: © 2023 Kumar S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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