The Structural Similarity of Predicted Chickens MHC Regulatory Factors and Bacterial Organisms

Author(s): Mohammad Khosravi*.

Journal Name: Immunology, Endocrine & Metabolic Agents in Medicinal Chemistry (Under Re-organization)
(Formerly Current Medicinal Chemistry - Immunology, Endocrine & Metabolic Agents)

Volume 17 , Issue 2 , 2017

Graphical Abstract:


Objective: Pathogen microorganisms use pathogen-encoded factors resembling host factors to elude the host's immune system. Based on molecular mimicry, a hypothesis was developed based on the bioinformatics analysis which represents the microorganism’s interference with chicken MHC regulatory factors.

Method: The sequences of chicken NLRC5 and CIITA were retrieved from NCBI and ensemble database; so that the regulatory factors were predicted by using STRING tools. Also, Swiss model tools were used to predict the 3D structure of these molecules. The Cluspro 2.0 tool was used inorder to reveal the intramolecular interaction. Moreover, to find out the sequence and structure similarity with microorganism, UniPortKB, VAST and 3D Match tools were used as the experimental instruments.

Result: In summary, Roseomonas cervicalis, Acetobacter aceti, Azospirillum sp CAG239, Roseomonas cervicalis, Rickettsiales_bacterium, Lactobacillus_hilgardii, Lactobacillus sakei, Aciduliprofundum boonei, Geoglobus_acetivorans, Pyrococcus horikoshii, Corynebacterium accolens, Hydrocarboniphaga effusa, Rhodopirellula europaea, Protochlamydia amoebophila and Escherichia coli have the protein subunit with detectable similarity with MHC regulatory factors.

Conclusion: Bioinformatics analysis discovered mimicry as the new aspect of immune evasion or immune suppression effects of microbial organism in addition to the molecular similarities in MHC regulatory factors which were revealed between mammals and birds.

Keywords: Bacteria, bioinformatics, chicken, MHC, regulatory factors, immune system.

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Article Details

Year: 2017
Page: [87 - 95]
Pages: 9
DOI: 10.2174/1871522217666170802123320
Price: $58

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