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In Silico Analysis, Structure Modeling and Phosphorylation Site Prediction of Vitellogenin Protein from Gibelion Catla

In Silico Analysis, Structure Modeling and Phosphorylation Site Prediction of Vitellogenin Protein from Gibelion Catla
J Appl Biotechnol Bioeng 2017, 3(1): 0005
  • April 2017
  • DOI: 
  • 10.15406/jabb.2017.03.00055
  • Ajit kumar RoyAjit kumar Roy
    •                                                                        Abstract 
      Vitellogenin is an egg yolk precursor protein expressed in the females of nearly all oviparous species including fish, amphibians, reptiles, birds, most invertebrates and monotremes .In the present study using bioinformatics tools and in silico modeling and analysis of Vitellogenin protein sequences of Gibelion catla was conducted. Primary structure prediction and physicochemical characterization were performed by computing theoretical isoelectric point (pI) 9.03, molecular weight 144862.03 Da, extinction co-efficient 78325, instability index 42.86 and aliphatic index 113.01. Grand Average of hydropathicity (GRAVY) was computed 0.212. Secondary structure assessment of Vitellogenin protein of carp Gibelion catla using GORIV reveals greater percentage of residues as alpha helix and random coils against the beta sheets. After performing homology modeling using Swiss model, a 3D structure of Vitellogenin of Gibelion catla have been predicted from its amino acid sequence. After the prediction structure has been validated through various validation tools. This homology modeling based structure will provide an insight to its functional aspects and further studies which are based on tertiary structure of protein. Keywords: Structure modeling; Phosphorylation

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