4 research outputs found
Aggregation of biological knowledge for immunological and virological applications
Ph.DDOCTOR OF PHILOSOPH
Identification and Molecular validation of Biomarkers for the accurate and sensitive diagnosis of bacterial and viral Pneumonia
Philosophiae Doctor - PhDPneumonia remains the major cause of death in children and the elderly and several efforts have been intensified to reduce the rate of pneumonia infection. The major breakthrough has been the discovery of certain biomarkers for the diagnosis of pneumonia through immunogenic techniques
Theoretical Assessment of Immunogenicity Variation on The HA protein of H2N2 influenza virus by using fuzzy integral and SVM classifier.
[[abstract]]"Hemagglutinin (HA) is the surface protein of influenza
viruses, which is known to play important role in the infection
process. It is the antigen that inducing immune responses and
currently be used as the influenza vaccine potency marker.
Epitope are some segments in the antigen which could be
recognized by the immune system specifically and induce
immune response. The T-cell epitopes of protein antigens are
some peptides that presented on the cell surface by MHC
molecules via the MHC class I pathway or the MHC class II
pathway. The antigen presentation mechanisms are different in
these two pathways. The MHC class I pathway is used to present
endogeneous antigens to cytotoxic T cell, while the MHC class II
pathway is used to present the extracellular antigens to helper T
cell. The epitope with strong immune response is good target for
vaccine design. Recently, the type of H2N2 influenza has a
tendency towards popular again. To understand the
immunogenicity variation among the HA proteins of H2N2
influenza for the past decade is important for deciphering the
infection tendency. It is also a clue to design effective vaccine in
advance.
Fuzzy measure considers a series of special classes of
measures and defined by a special property, respectively. The
concept of fuzzy measure theory was introduced by Choquet in
1953 and independently defined by Sugeno in 1974 in the
context of fuzzy integrals. The Choquet integral is a fuzzy
integral based on any fuzzy measure that provides a
computational scheme for information aggregation.
In this study, we proposed a novel algorithm with high
accuracy in immunogenicity prediction based on fuzzy measure
and SVM classifier. Accordingly, we applied this prediction
method to assess the immunogenicity variation on the HA
protein of H2N2 influenza virus for the past three decades. The
results show that the immunogenicity strength decreased for
MH C class II response that implied the increasing tendency of
influenza outbreak by H2N2 virus.