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9.4
4.8
Journals
Biomolecules
Special Issues
Molecular Mechanisms and Biomedical Applications of Virus Entry
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Molecular Mechanisms and Biomedical Applications of Virus Entry

A special issue of Biomolecules (ISSN 2218-273X).

Deadline for manuscript submissions: 31 July 2024 | Viewed by 455

Special Issue Editor

Dr. Vaibhav Tiwari

E-Mail Website
Guest Editor
1. Departments of Ophthalmology and Visual Sciences & Microbiology/Immunology, University of Illinois at Chicago, Chicago, IL, USA
2. Department of Microbiology and Immunology, Midwestern University, Downers Grove, IL, USA
Interests: molecular virology; virus diseases; viral infection; viral cell culture
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Understanding the mechanistic details of viral entry is vital to prevent early stages of virus infection. The process of viral entry starts when viral proteins interact specifically with the cell surface receptor, resulting in the virus–host cell membrane fusion. In this dynamic process, several host cell factors, including cell surface heparan sulfate, act as critical components to facilitate viral entry. It is believed that cell types, the expression of cell surface receptors, changes in viral strain all influence viral entry, suggesting the persisting challenges in the field. In this Special Issue, we welcome submissions of research or review articles on recent advances in our understanding of viral entry, virus tropism, and virus entry-mediated signaling pathways, including host cellular factors affecting the entry of either DNA and or RNA viruses. Further topics include heparan sulfate signaling, novel compound targeting viral entry and viral entry exploiting the host cell cytoskeleton.

Dr. Vaibhav Tiwari
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomolecules is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • heparan sulfate
  • virus entry
  • virus–host cell interactions
  • virus cell-to-cell fusion

Published Papers (1 paper)

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Review

25 pages, 2904 KiB  
Review
Significance of Artificial Intelligence in the Study of Virus–Host Cell Interactions
by James Elste, Akash Saini, Rafael Mejia-Alvarez, Armando Mejía, Cesar Millán-Pacheco, Michelle Swanson-Mungerson and Vaibhav Tiwari
Biomolecules 2024, 14(8), 911; https://doi.org/10.3390/biom14080911 (registering DOI) - 26 Jul 2024
Abstract
A highly critical event in a virus’s life cycle is successfully entering a given host. This process begins when a viral glycoprotein interacts with a target cell receptor, which provides the molecular basis for target virus–host cell interactions for novel drug discovery. Over [...] Read more.
A highly critical event in a virus’s life cycle is successfully entering a given host. This process begins when a viral glycoprotein interacts with a target cell receptor, which provides the molecular basis for target virus–host cell interactions for novel drug discovery. Over the years, extensive research has been carried out in the field of virus–host cell interaction, generating a massive number of genetic and molecular data sources. These datasets are an asset for predicting virus–host interactions at the molecular level using machine learning (ML), a subset of artificial intelligence (AI). In this direction, ML tools are now being applied to recognize patterns in these massive datasets to predict critical interactions between virus and host cells at the protein–protein and protein–sugar levels, as well as to perform transcriptional and translational analysis. On the other end, deep learning (DL) algorithms—a subfield of ML—can extract high-level features from very large datasets to recognize the hidden patterns within genomic sequences and images to develop models for rapid drug discovery predictions that address pathogenic viruses displaying heightened affinity for receptor docking and enhanced cell entry. ML and DL are pivotal forces, driving innovation with their ability to perform analysis of enormous datasets in a highly efficient, cost-effective, accurate, and high-throughput manner. This review focuses on the complexity of virus–host cell interactions at the molecular level in light of the current advances of ML and AI in viral pathogenesis to improve new treatments and prevention strategies. Full article
(This article belongs to the Special Issue Molecular Mechanisms and Biomedical Applications of Virus Entry)
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