COMPARATIVE ANALYSIS OF GENES
ASSOCIATED WITH OBESITY IN HUMANS
USING BIOINFORMATIC DATA AND TOOLS
Musliji ZS1, Pollozhani AK1, Lisichkov K2, Deligios M3, Popovski ZT2,4,*
*Corresponding Author: Professor Zoran T. Popovski, Ph.D., Department of Biochemistry and
Genetic Engineering, Faculty of Agriculture and Food Sciences, Bld “Aleksandar Makedonski,” bb
PB 297, 1000 Skopje, Republic of North Macedonia. Tel: +389-70-252-731. Fax: +389-2-3134-310.
E-mail: zoran_ popovski@yahoo.com
page: 35
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MATERIALS AND METHODS
The data for the sequences of the four genes (and corresponding
proteins) have been extracted from the National
Center for Biotechnology Information (NCBI) [11]. Using
these data, we have summarized the general information
about the genes in humans and based on the homology
information, we have compared the location of the genes
in three species.
Next, a phylogenetic tree was contracted using basic
local alignment search tool (BLAST) and multiple
sequence alignment (MEGA X) software. The BLAST is
an online tool that enables study of the evolutionary history
of a gene or protein by comparing the homologous
[10]; MEGA X is a package for performing fast and accurate
multiple sequence alignment of potentially multiple
large sequences of large number of proteins or DNA/
RNA sequences [12]. The method of phylogenetic inference
that is used for constructing the phylogenetic trees
is distance-matrix methods neighbor joining (NJ) [13].
We have chosen this method because it provides the best
trade-off between accuracy and complexity (computation
time) [10]. The evolutionary distances were computed using
the Maximum Composite Likelihood method [13,14].
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