Abstract

Pair-wise t-test in the Comparison of Amino Acid Frequencies between Differing Mammalian Groups
 by Solomon Wongǂ, Wenqiao Wangǂ, Kimberly Phamǂ 
ǂ - Affiliations:The University of Texas at Austin, College of natural Sciences, Department of Biology, BIO337 Systems Biology and Bioinformatics

    The immune system is an indispensable body system that has evolved through millions of years. Within the mammalian immune system, there contains five classes of antibodies that partake in the adaptive immune system. These five sub-classes are classified through their constant heavy chain regions and slight differences separate these classes from each other. The heavy chain regions are highly influenced by amino acid composition and frequencies. These compositions allow a diverse and effective immune system within the same host and similar organisms. Using comparative histograms and pair-wise t-tests, it is possible to observe these amino acid frequencies and the impact on conservation between mammals. Statistical methodology  and analysis in linking constant heavy chain regions serve to provide us a model to observe similarities and differences between organisms that are relatively related to each other. In conclusion, there are slightly differing regions in amino acid frequencies and composition of the constant heavy regions of antibody isomers in similar species and even within the same host species. The identifications of these compositions serve to allow future modeling and design of comparative animal studies of the immune system and in the classification of a variable antibody and possibly develop a method of localized classification for antibodies.
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