Bioinformatics-Driven Analysis of Mechanisms Underlying the Function and Evolution of Pandemic Viruses
A special issue of Viruses (ISSN 1999-4915). This special issue belongs to the section "General Virology".
Deadline for manuscript submissions: 25 April 2025 | Viewed by 14795
Special Issue Editors
Interests: pandemic viruses; vaccines; synthetic biology and biotechnology; motif identification; protein engineering; biocatalysis; bioremediation; neurodevelopment and neurological disorders; biomimetics and regenerative medicine; subcellular trafficking
Special Issues, Collections and Topics in MDPI journals
Interests: pandemic viruses; vaccines; structural predictions and simulations; enzyme evolution and engineering; biocatalysis; design of biomimetic molecules
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, progress in molecular sciences and bioinformatics has strongly enhanced discoveries in every field of life sciences, including virology. At the same time, the power of computational biology has improved the rational design of antivirals through high-confidence simulations.
This Special Issue aims to report bioinformatics-driven analyses of pandemic viruses, such as influenza A virus and coronaviruses, that are able to:
- Shed light on trends in virus clade/subclade/variant evolution;
- Identify or suggest sequence/structural fingerprints in virus–host interactions, and eventually identify underlying host specificity and host jump (zoonosis) phenomena;
- Identify or suggest crucial mutations resulting in epitope variation, and hence, “immune escape”;
- Identify sequence/structural motifs (and their variation) modulating the binding affinity to functional receptors of the host, thus predicting tissue-specific spreading and pathogenicity;
- Guide and/or improve the design of antiviral molecules and vaccines.
Dr. Francesco Filippini
Dr. Irene Righetto
Guest Editors
Manuscript Submission Information
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Keywords
- pandemic virus
- avian influenza
- coronavirus
- SARS-CoV-2
- immune escape
- structural bioinformatics
- variant
- mutation
- antiviral design
- host jump
- pathogenicity shift
- antiviral design
- epitope identification
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