[doi: 10.5505/2017ichc.PP-141]A computational Analysis: Structural and Functional Concomitance of MicroRNAs involved in Colorectal CancersRozhgar A. Khailany1, Naser Gilani1, Belan O. Kanabe2, Khandakar A. S. M. Saadat1, Muhamad Safdar1, Ahmet Arslan3, Yasmen Junejo42Department of Biology, Gaziantep University, Gaziantep, Turkey 3Department of Medical Biology, Faculty of Medicine, Namık Kemal University, Tekirdag, Turkey 4National Center of Excellence in Analytical Chemistry, University of Sindh, Jamshoro, Pakistan MicroRNAs (miRNAs) are small non-coding RNAs that function as guide molecules in mRNA silencing. They have a crucial role in post-transcriptional regulation of gene expression via mRNA degradation or translational repression. Currently, miRNAs are considered as indispensable players in several physiological and pathological conditions, particularly in various cancers due to their dysregulation. With the quick expanding number of biomolecule structures, a real challenge to molecular biologists will be with construing those capacity in view of their structural similarity. Instead of sequence, the structure of molecules could provide more conspicuous confirmation of functional part in biology. This study`s goal is to investigate whether the primary sequence similarity is expressed in structure similarity in phylogenetic contexts of miRNAs, which are responsible for colorectal cancers. In order to better understanding we compare the obtained trees using miRNA primary sequences and its secondary structures. The miRNA sequence sources is the miRBase 14.0, they were browsed and downloaded as a FASTA format. Sequence based analysis was performed using MUSCLE multiple alignment and MEGA 6.0 programs. Secondary structures were analyzed by Vienna RNA package. In the phylogenetic tree based on structural data it was clarified that has-mir-101-1 and has-mir-222 genes are closely related. However, in phylogenetic tree obtained from sequence data these miRNAs are noticeably distant from each other and closer to other miRNAs. Consequently, this approach could be very informative in predicting the concomitant function of new microRNAs whose function is yet to be known. |