Journal of Computational Intelligence in Bioinformatics

  • Year: 2010
  • Volume: 3
  • Issue: 1

In-silico Approch Towards Identification of the Protein Responsible for Sjogren's Syndrome and Designing a Natural Anti-Inflammatory Remedy for the Same

  • Author:
  • Preenon Bagchi1,2,, G. Mithu Simson3
  • Total Page Count: 8
  • DOI:
  • Page Number: 63 to 70

1Azyme Biosciences Pvt. Ltd., Bangalore-560069, India

2Dept. of Bioinformatics, SRM University, Kattankulathur - 603 203, India

3SRM Arts & Science College, Kattankulathur - 603 203, India

*Corrosponding Author: preenonb@yahoo.com

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Abstract

Sjogren's Syndrome is an autoimmune disorder that attacks the body's moisture-producing glands, leading to progressively worsening dry mouth, eyes, vagina and skin, as well as fatigue. The syndrome boosts rheumatic disorders.

The mannose binding lectin (MBL) mutation protein is one of the cause for Sjogren's syndrome. A 3D structure of the MBL protein was modeled. Pernin (glycosylated protein) extracted from green lipped mussel is found to have anti-inflammatory property. Its 3D structure was modeled.

The active component of ayurvedic herbs turmeric and licorice is found to have anti-inflammatory activity. Their structure was sketched using ACD/Chemsketch, combined and converted to *.pdb. This combination is docked with pernin protein.

Again, the above combination is successfully docked with MBL protein which proves that the combination is effective in treating sjogren's syndrome.

Keywords

Sjogren's Syndrome, Autoimmune disorder, Rheumatic disorders, Bioinformatics, Mannose binding lectin, Ayurvedic herbs, Pernin, Homology modelling, Docking