Every year certain treatment
strategies are developed to combat influenza that too only after the epidemic
hits the population. The major setback in designing the treatment strategy is
due to the variation in the surface antigenic determinants (Hemagglutinin and
Neuraminidase) of the virus. In this work, the position specific contribution
of an amino acid in the variation of the Hemagglutinin protein has been
derived. Multiple sequence alignment of non-redundant sequences of Hemagglutinin
from different strains has been used to derive a position specific weighted
probability score matrix. The next-in-line variation in the subtype of the
Hemagglutinin protein of the influenza A virus has been predicted using the
calculated score matrix. Although the prediction has been accomplished with an
average accuracy of 60%, the accuracy can still be improved. This strategy may
be proven to be useful to design a drug before the outburst of the disease. -
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