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Obesity is a major public health issue in many countries and its development leads to many severe conditions. Adipose tissue (AT) simply called fat, in males visceral adipose tissues (VAT) are dominant. Estrogens play an important role in many pathological processes.
In this study, one of the subtypes of the estrogen receptor ER-beta is activated using KB (Specific ligand) treatment on VAT.
In this study, I investigated the metabolism effectof KB treatment on VAT using bioinformatics methods.
In this thesis study, I applied several bioinformatics methods such as differential expression gene analysis, pathway analysis, RNA splicing analysis and SNPs callings to make the prediction of the effect of KB treatment on VAT. A list of candidate genes, pathways and SNPs were identified in this study, which could provide some clues to reveal the genetic mechanism underlying the KB treatment effect. The results of my study show that the KB treatment on VAT has caused significant effect.
The endogen steroid hormone 17b-estradiol is a central player in a wide range of physiologic, behavioral processes and diseases in vertebrates. As a consequence, it is a main target for molecular design and drug discovery efforts in medicine and environmental sciences, which requires in-depth knowledge of protein-ligand binding processes. This work develops a bioinformatic framework based on local and global structure similarity for the characterization of E2-protein interactions in all 35 publicly available three-dimensional structures of estradiol-protein complexes. Subsequently, it uses gained data to identify four geometrically conserved estradiol binding residue motifs, against which the Protein Data Bank is queried. As result of this database query, 15 hits present in seven protein structures are found. Five of these structures do not contain E2 as ligand and had thus not been included in this work’s initial data set. One of these newly detected structures is structurally and functionally dissimilar, as well as evolutionarily distant from all other proteins analyzed in this work. Nevertheless, the ability of this protein to actually bind estradiol must be further analyzed. Finally, geometrically conserved E2-protein interactions are identified and a new research direction using these conserved interaction ensembles for the detection of novel estradiol targets is proposed.
Brassica oleracea like all crucifers plants have a defense mechanism against natural enemies, which are chemical compounds formed form the enzymatic degradation of glucosinolates. In the presence of epithiospecifier proteins (ESP), the hydrolysis of glucosinolates will form epithionitriles or nitriles depending on the glucosinolate structure, This research proved that three predicted sequences (ESP) taken from NCBI database has a role in the enzymatic hydrolysis of glucosinolates in Brassica oleracea.