Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.3906/elk-1402-100
Abstract
bioinformatics and computational molecular biology, since these studies may result in important results in the case of diseases. Due to this, in this study, bioinformatics data were analyzed based on nucleotides and motifs. Bioinformatics data for proteins were obtained from two different databases. The obtained data belonged to cancer patients, and the genes in these DNA and protein sequences, the proteins synthesized by these sequences, and motifs in these data were analyzed. In the analysis, the ABCB1, ALOX5AP, AKT1, BRCA1, BRCA2, TNF, TNFSF13B, TP53, TP63, TP73, and WT1 genes were used. The proteins synthesized by genes belonging to similar classes were analyzed based on amino acid distributions, atomic distributions, Ramachandran plot similarities, and motifs.
Keywords
Genes, proteins, cancer genes, motif discovery, Ramachandran diagrams
First Page
2525
Last Page
2538
Recommended Citation
DEMİR, MURAT and KARCI, ALİ
(2016)
"Implementation analyses of proteins and genes obtained from cancer patients,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24:
No.
4, Article 37.
https://doi.org/10.3906/elk-1402-100
Available at:
https://journals.tubitak.gov.tr/elektrik/vol24/iss4/37
Included in
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons