Targeting Viral Surface Proteins through Structure-Based Design
Targeting Viral Surface Proteins through Structure-Based Design
The emergence of novel viral infections of zoonotic origin and mutations of existing human pathogenic viruses represent a serious concern for public health. It warrants the establishment of better interventions and protective therapies to combat the virus and prevent its spread. Surface glycoproteins catalyzing the fusion of viral particles and host cells have proven to be an excellent target for antivirals as well as vaccines. This review focuses on recent advances for computational structure-based design of antivirals and vaccines targeting viral fusion machinery to control seasonal and emerging respiratory viruses.
- UNIVERSITY OF GEORGIA
- University of Georgia Press United States
- University of Georgia United States
- University of Georgia Georgia
- Institute of Bioinformatics India
Clinical Trials as Topic, rational design, Viral Vaccines, Review, Microbiology, Antiviral Agents, QR1-502, Vaccinology, Viral Matrix Proteins, structural vaccinology, Mice, Viral Envelope Proteins, vaccine, respiratory viruses, Viruses, computational protein design, Animals, Humans, Computer Simulation, Respiratory Tract Infections, glycoproteins
Clinical Trials as Topic, rational design, Viral Vaccines, Review, Microbiology, Antiviral Agents, QR1-502, Vaccinology, Viral Matrix Proteins, structural vaccinology, Mice, Viral Envelope Proteins, vaccine, respiratory viruses, Viruses, computational protein design, Animals, Humans, Computer Simulation, Respiratory Tract Infections, glycoproteins
8 Research products, page 1 of 1
- 2013IsRelatedTo
- 2015IsRelatedTo
- 2017IsRelatedTo
- 2013IsRelatedTo
- 2013IsRelatedTo
- 2020IsRelatedTo
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
