• Contact Us
  • Indexing
  • Submit Manuscript
  • Open Access
  • Journals
  • Home
  • ISSN: 2576-1102
    Early Online
    Volume 5, Issue 1
    Original Research
    Anfal Ibrahim Bahereldeen*, Reel Gamal Alfadil, Hala Mohammed Ali, Randa Musa Nasser, Nada Tagelsir Eisa, Wesal Hassan Mahmoud, and Shaymaa Mohammedazeem Osman
    Background: HFE gene is a HLA class1-like molecule, expressed in the different cells and tissues, mutations on this gene reported to cause about 80-90% of Hereditary haemochromatosis (HHC) and it is increasing the risk of different diseases. In this study; we aimed to analysis the SNPs in HFE gene by using different computational methods.
    Methodology: We obtained HFE gene nsSNPs from dbSNP/NCBI database, Deleterious nsSNPs predicted by different bioinformatics servers including; SIFT, polyphen-2, I-mutant and SNPs & GO servers. Protein structure analysis done by using Project hope and RaptorX tools then visualized by Chimera software and function, interaction and network of HFE gene analysis done by Gene MANIA program.
    Results: SIFT and Polyphen-2 servers predicted 75 deleterious nsSNPs and nine polymorphisms from them predicted as highly damaging and disease associated. Conclusion: In silico analysis of single nucleotide polymorphisms is better for understanding different genetic disorders, and give helpful information for future candidate studies.
  • JSciMed Central Blogs
  • JSciMed Central welcomes back astronaut Scott Kelly and cosmonaut Mikhail Kornienko.
    Readmore...

    Wonder Women Tech not only disrupted the traditional conference model but innovatively changed the way conferences should be held.
    Readmore...

    JSciMed Central Peer-reviewed Open Access Journals
    About      |      Journals      |      Open Access      |      Special Issue Proposals      |      Guidelines      |      Submit Manuscript      |      Contacts
    Copyright © 2016 JSciMed Central All Rights Reserved
    Creative Commons Licence Open Access Publication by JSciMed Central is licensed under a Creative Commons Attribution 4.0 International License.
    Based on a work at https://jscimedcentral.com/. Permissions beyond the scope of this license may be available at https://creativecommons.org/.