<em>In silico</em> analysis and homology modelling of coat-protein of garlic common latent virus isolated from India
IR@NISCAIR: CSIR-NISCAIR, New Delhi - ONLINE PERIODICALS REPOSITORY (NOPR)
View Archive Info| Field | Value | |
| Title |
<em>In silico</em> analysis and homology modelling of coat-protein of garlic common latent virus isolated from India
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| Creator |
Meena, Rakesh Kumar
Thakur, Sanket Jain, Shailendra |
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| Subject |
Garlic common latent virus
RaptorX web modelling Ramachandran plot SAVS |
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| Description |
481-486
Garlic 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 garlic common latent virus (GarCLV). Since no structural information is available for majority of protein sequences available in Protein Data Bank (PDB), 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 -0.513 and 44.39, respectively, supporting the protein to have better interaction with water. The modelling was performed Swiss model web server and found was that 84.2% of the amino acid residues in most favored region. The model was validated using structural analysis and verification server (SAVS). Coat-protein structure of GarCLV obtained through computational modelling was found congruent with their protein structure obtained by X-ray crystallography or nuclear mag nifty resonance (NMR). |
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| Date |
2018-01-04T04:13:37Z
2018-01-04T04:13:37Z 2017-07 |
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| Type |
Article
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| Identifier |
0975-0967 (Online); 0972-5849 (Print)
http://nopr.niscair.res.in/handle/123456789/43320 |
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| Language |
en_US
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| Rights |
<img src='http://nopr.niscair.res.in/image/cc-license-sml.png'> <a href='http://creativecommons.org/licenses/by-nc-nd/2.5/in' target='_blank'>CC Attribution-Noncommercial-No Derivative Works 2.5 India</a>
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| Publisher |
NISCAIR-CSIR, India
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| Source |
IJBT Vol.16(3) [July 2017]
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