Name
Abstract | ||
|---|---|---|
Continual and accumulated mutations in hemagglutinin (HA) protein of influenza A virus generate novel antigenic strains that cause annual epidemics.We propose a model by incorporating scoring and regression methods to predict antigenic variants. Based on collected sequences of influenza A/H3N2 viruses isolated between 1971 and 2002, our model can be used to accurately predict the antigenic variants in 1999-2004 (agreement rate = 91.67%). Twenty amino acid positions identified in our model contribute significantly to antigenic difference and are potential immunodominant positions. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/bioinformatics/btm638 | Bioinformatics |
Keywords | Field | DocType |
pair-wise antigenic distance,bioinformatics model,antigenic variant,influenza a,amino acid sequence,novel antigenic strain,tw supplementary information,twenty amino acid position,annual epidemic,agreement rate,supplementary information,amino acid | Orthomyxoviridae,Virus,Antigen,Biology,Amino acid,Hemagglutinin (influenza),Antigenic drift,Bioinformatics,Antigenic shift,Influenza A virus,Virology | Journal |
Volume | Issue | ISSN |
24 | 4 | 1367-4811 |
Citations | PageRank | References |
13 | 2.27 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Chieh Liao | 1 | 42 | 4.24 |
| Min-Shi Lee | 2 | 14 | 2.75 |
| Chin-Yu Ko | 3 | 14 | 2.75 |
| Chao Agnes Hsiung | 4 | 128 | 11.01 |