Stability of the Influenza Virus Hemagglutinin Protein Correlates with Evolutionary Dynamics
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Stability of the Influenza Virus Hemagglutinin Protein Correlates with Evolutionary Dynamics
Authors
Keywords
-
Journal
mSphere
Volume 3, Issue 1, Pages e00554-17
Publisher
American Society for Microbiology
Online
2018-01-08
DOI
10.1128/mspheredirect.00554-17
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Modulation of the pH Stability of Influenza Virus Hemagglutinin: A Host Cell Adaptation Strategy
- (2016) Santiago Di Lella et al. BIOPHYSICAL JOURNAL
- Global circulation patterns of seasonal influenza viruses vary with antigenic drift
- (2015) Trevor Bedford et al. NATURE
- Restricted replication of the live attenuated influenza A virus vaccine during infection of primary differentiated human nasal epithelial cells
- (2015) William A. Fischer et al. VACCINE
- Phylodynamics of H1N1/2009 influenza reveals the transition from host adaptation to immune-driven selection
- (2015) Yvonne C. F. Su et al. Nature Communications
- Identification of Hemagglutinin Residues Responsible for H3N2 Antigenic Drift during the 2014–2015 Influenza Season
- (2015) Benjamin S. Chambers et al. Cell Reports
- Protein Homeostasis Imposes a Barrier on Functional Integration of Horizontally Transferred Genes in Bacteria
- (2015) Shimon Bershtein et al. PLoS Genetics
- Merging molecular mechanism and evolution: theory and computation at the interface of biophysics and evolutionary population genetics
- (2014) Adrian WR Serohijos et al. CURRENT OPINION IN STRUCTURAL BIOLOGY
- A predictive fitness model for influenza
- (2014) Marta Łuksza et al. NATURE
- A Single Amino Acid in the Stalk Region of the H1N1pdm Influenza Virus HA Protein Affects Viral Fusion, Stability and Infectivity
- (2014) Christopher R. Cotter et al. PLoS Pathogens
- Contribution of Selection for Protein Folding Stability in Shaping the Patterns of Polymorphisms in Coding Regions
- (2013) Adrian W.R. Serohijos et al. MOLECULAR BIOLOGY AND EVOLUTION
- MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
- (2013) K. Katoh et al. MOLECULAR BIOLOGY AND EVOLUTION
- The evolutionary dynamics of influenza A virus adaptation to mammalian hosts
- (2013) S. Bhatt et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Stability-mediated epistasis constrains the evolution of an influenza protein
- (2013) Lizhi Ian Gong et al. eLife
- Protein Quality Control Acts on Folding Intermediates to Shape the Effects of Mutations on Organismal Fitness
- (2012) Shimon Bershtein et al. MOLECULAR CELL
- Efficacy and effectiveness of influenza vaccines: a systematic review and meta-analysis
- (2011) Michael T Osterholm et al. LANCET INFECTIOUS DISEASES
- Interactive Tree Of Life v2: online annotation and display of phylogenetic trees made easy
- (2011) I. Letunic et al. NUCLEIC ACIDS RESEARCH
- A biophysical protein folding model accounts for most mutational fitness effects in viruses
- (2011) C. S. Wylie et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Tyrosines in the Influenza A Virus M2 Protein Cytoplasmic Tail Are Critical for Production of Infectious Virus Particles
- (2010) M. L. Grantham et al. JOURNAL OF VIROLOGY
- Inferring Stabilizing Mutations from Protein Phylogenies: Application to Influenza Hemagglutinin
- (2009) Jesse D. Bloom et al. PLoS Computational Biology
- Natural Selection for Nucleotide Usage at Synonymous and Nonsynonymous Sites in Influenza A Virus Genes
- (2008) S. Kryazhimskiy et al. JOURNAL OF VIROLOGY
- A Rapid Bootstrap Algorithm for the RAxML Web Servers
- (2008) Alexandros Stamatakis et al. SYSTEMATIC BIOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More