In-silico analysis and homology modelling of coat-protein of Mungbean Yellow Mosaic India Virus

Mungbean is affected by several diseases incited by viruses, fungi, bacteria and nematodes. In this study, coat-protein sequence was analyzed and modelled to explore properties and structure of Mungbean yellow mosaic India virus (MYMIV). Since no structural information is available for majority of protein sequences available in Protein Data Bank, computational methods for protein structure prediction have been of much interest in recent years. Physico-chemical properties of the protein under study were computed. The grand average of hydropathy (GRAVY) value and instability index were found to be -0.646 and 45.75, respectively, supporting the protein to have better interaction with water. Comparative homology modelling was performed with ModWeb, ESyPred and Swiss Model. It was observed that the model generated by ModWeb was most acceptable with 90.2% of the residues in most favoured region. The model was validated using Structural Analysis and Verification Server (SAVS). Coat-protein structure of MYMIV obtained through computational modelling was found congruent with their protein structure obtained by X-ray crystallography or NMR.