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A Jamshidi, M Mousavi Ghahfarrokhi, A Gharaei, A Ebrahimzadeh, M Jaffari Modrek, A Ansari Moghadam, S Mohammadi,
Volume 8, Issue 1 (spring[PERSIAN] 2014)
Abstract

Abstract Background and Objective: The Plasmodium falciparum EBA-175, via Sialic acid dependent glycophorin A, binds to red blood cells and thus plays a critical role in cell invasion. Some part of second allele in its gene encoding in FCR-3 (Section F) and CAMP (Section C) can be found. This study aimed to determine the prevalence of Plasmodium falciparum EBA-175KD alleles in southeastern Iran. Material and Methods: In this cross-sectional study, using polymerase chain reaction Nest (Nested-PCR) with specific primers was used for the two parts of the EBA-175 gene to be proliferated. Ninety–four microscopic positive blood samples from individuals infected by Plasmodium falciparum were obtained from four different locations in southeastern Iran. Results: Of 94 positive samples, 88 were antigen EBA-175KD. Genotype CAMP (714 bp) and FCR-3 (to 795 bp), respectively, in 31 (32.97 %) and 49 (52.12 %) were found. Eight samples have both FCR-3 and CAMP. Conclusion: Both of EBA-175KD dimorphic genes were found. The frequency of FCR-3 allele was higher in the South East of Iran. Thus, this pattern can be considered in making Plasmodium falciparum vaccines for this area. Key words: Plasmodium Falciparum Erythrocyte Binding Antigen-175 South-East of Iran
Esmaeil Samadian, Ayyoob Khosravi , Roghaye Gharae, Mostafa Mir, Seyed Ahmad Sajjadi , Fahimeh Mohammad Abadi, Nader Hashemi, Sahar Alijanpour, Hamid Reza Joshaghani,
Volume 10, Issue 3 (May-Jun 2016 2016)
Abstract

ABSTRACT

          Background and Objective: Genetic variations in the gene encoding endothelial nitric oxide synthase (eNOS) enzyme affect the susceptibility to cardiovascular disease. Identification of the way these changes affect eNOS structure and function in laboratory conditions is difficult and time-consuming. Thus, it seems essential to perform bioinformatics studies prior to laboratory studies to find  the variants that are more important. This study aimed to predict the damaging effect of changes in the coding region of eNOS using homology- and structure-based algorithms (SIFT and PolyPhen).

           Methods: First, the single nucleotide polymorphisms in the coding region (cSNPs) of the human eNOS gene were extracted from dbSNP. Resulting amino acid changes were reported as primary data required for the study. Then, position and type of amino acid changes along with the complete amino acid sequence were separately entered into the SIFT and PolyPhen tools for analysis.

         Results: Of 144 single nucleotide changes, 38 changes by the SIFT, 47 changes by the PolyPhen and 18 amino acid substitutions by both tools were predicted as damaging.

          Conclusion: It is predicted that 18 amino acid changes may have damaging phenotypic effects on the structure of the eNOS enzyme that may affect its performance by potentially affecting the enzyme’s various functional regions. Therefore, computational prediction of potentially damaging nsSNPs and prioritizing amino acid changes may be useful for investigating protein performance using targeted re-sequencing and gene mutagenesis experiments.

        



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