Journal of Proteomics & Bioinformatics
Open Access

In silico analysis of non-synonymous single nucleotide polymorphisms of BMBR2 (PPH1) gene and demonstration of gene’s network interactions

5^th International Conference on Proteomics & Bioinformatics

September 01-03, 2015 Valencia, Spain

Mohamed Taha1, Ahmed S1, Basher E1, Elnair R1, Abdelghani A1, Mohamed Ali A M1 and Hassan M1, 2, 3, 4

1University of Khartoum, Sudan 2Africa City of Technology, Sudan 3International Neuroinformatics Coordinating Facility, Sweden 4University of Tubingen, Germany

Posters-Accepted Abstracts: J Proteomics Bioinform

Abstract :

Mutations in BMPR2 gene is seen in about 15% of sporadic cases and about 40% of familial cases of PPH. we have studied nonsynonymous SNPs in BMPR2-002 (ENST00000374574). Non-synonymous dsSNPs were identified using NCBI-database. Then advanced bioinformatics analysis was used to determine the functionality of each SNP in the coding region. Out of 323 SNPs were found in coding region, only 7 were found to be damaging in both SIFT and polyphen. 53 SNPs in 3UTR region were found to disrupt miRNA binding sites whereas 55 SNPs were found to create new ones. Certain SNPs affect binding sites of certain MicroRNAs that have been linked to hepatic cancer and prostate cancer. BMPR2 gene interactions with other genes were identified and classified according to multiple parameters (physical interaction, co-localization, co-expression, pathway and prediction). BMPR2 is an important regulator in BMP pathway which affects cellular growth. Certain SNPs were found to affect BMPR2 structure hence function for better correlation with clinical cases.

Biography :

Mohamed Taha completed his MBBS at University of khartoum faculty of medicine, awarded by memorial lord Kitchener prize for the best academic performance. He presented in three conferences including the World Congress of Neurology 2013. Now Mohamed is raking his master degree in molecular genetics in Nottingham university

Email: mohdil23@hotmail.com