Prediction of possible mutations in H5N1 hemagglutitins of influenza A virus by means of logistic regression
Identifieur interne : 000C29 ( Istex/Curation ); précédent : 000C28; suivant : 000C30Prediction of possible mutations in H5N1 hemagglutitins of influenza A virus by means of logistic regression
Auteurs : Guang Wu [République populaire de Chine] ; Shaomin Yan [République populaire de Chine]Source :
- Comparative Clinical Pathology [ 1618-5641 ] ; 2006-12-01.
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Abstract
Abstract: The relationship of mutations between 241 H5N1 hemagglutinins of influenza A virus was determined according to their amino acid and RNA codon sequences. Six probability values were calculated for each amino acid in each hemagglutinin. With these six numeric values as independents and the probability of mutation occurrence as dependent, a logistic regression was used to model 753 point mutations from the 241 hemagglutinins to derive population estimates. Thereafter, the future mutation positions in H5N1 hemagglutinin were predicted. Finally, the would-be-mutated amino acids in H5N1 hemagglutinin were predicted by means of translation probabilities between RNA codons and mutated amino acids.
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DOI: 10.1007/s00580-006-0638-y
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<front><div type="abstract" xml:lang="en">Abstract: The relationship of mutations between 241 H5N1 hemagglutinins of influenza A virus was determined according to their amino acid and RNA codon sequences. Six probability values were calculated for each amino acid in each hemagglutinin. With these six numeric values as independents and the probability of mutation occurrence as dependent, a logistic regression was used to model 753 point mutations from the 241 hemagglutinins to derive population estimates. Thereafter, the future mutation positions in H5N1 hemagglutinin were predicted. Finally, the would-be-mutated amino acids in H5N1 hemagglutinin were predicted by means of translation probabilities between RNA codons and mutated amino acids.</div>
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