Literature DB >> 31432591

A comparative in silico analysis of Rab5 proteins from pathogenic species to find its role in the pathogenesis.

Vijay Kumar Srivastava1, Sanket Kaushik1, Anupam Jyoti1.   

Abstract

The enteric protozoan parasite, Entamoeba histolytica (Eh), is the causative agent of amoebic dysentery and liver abscess in humans. It infects around 50 million people worldwide, which is a third general cause of death from parasitic diseases after malaria and schistosomiasis. The other prevalent form of the disease is Visceral leishmaniasis caused by Leishmania donovani which is a human blood parasite. On the other hand, the Toxoplasma gondii is an obligate intracellular protozoan parasite; it causes serious opportunistic infections in HIV-positive persons. The biological processes in all living organisms are mostly mediated by the proteins, and recognizing new target proteins and finding their function in pathogenesis will help in choosing better diagnostic markers. In eukaryotes, Rab protein plays a major role in pathogenesis. Rabs represent the largest branch in the Ras superfamily of GTPases. Among them, the Rab5 is important in the endocytosis and thus involved in pathogenesis. In this paper, we discussed the physiochemical profiling, modelling, and docking of the Rab5 protein from pathogenic species that is Entamoeba histolytica, Leishmania donovani, and Toxoplasma gondii. The modeled structures from this study and the key residues identified would give a better understanding of the three-dimensional structure and functional insights into these proteins and help in developing new drug targets.
© 2019 John Wiley & Sons, Ltd.

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Keywords:  docking; in silico tools; infectious disease; parasitology

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Year:  2019        PMID: 31432591     DOI: 10.1002/jmr.2808

Source DB:  PubMed          Journal:  J Mol Recognit        ISSN: 0952-3499            Impact factor:   2.137


  1 in total

1.  Probing the Peculiarity of EhRabX10, a pseudoRab GTPase, from the Enteric Parasite Entamoeba histolytica through In Silico Modeling and Docking Studies.

Authors:  Mrinalini Roy; Sanket Kaushik; Anupam Jyoti; Vijay Kumar Srivastava
Journal:  Biomed Res Int       Date:  2021-10-06       Impact factor: 3.411

  1 in total

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