Document Details

Document Type : Article In Journal 
Document Title :
Screening for clusters of charge in human virus proteomes
Screening for clusters of charge in human virus proteomes
 
Document Language : English 
Abstract : Background: The identification of charge clusters (runs of charged residues) in proteins and their mapping within the protein structure sequence is an important step toward a comprehensive analysis of how these particular motifs mediate, via electrostatic interactions, various molecular processes such as protein sorting, translocation, docking, orientation and binding to DNA and to other proteins. Few algorithms that specifically identify these charge clusters have been designed and described in the literature. In this study, 197 distinctive human viral proteomes were screened for the occurrence of charge clusters (CC) using a new computational approach. Results: Three hundred and seventy three CC have been identified within the 2549 viral protein sequences screened. The number of protein sequences that are CC-free is 2176 (85.3 %) while 150 and 180 proteins contained positive charge (PCC) and negative charge clusters (NCC), respectively. The NCCs (211 detected) were more prevalent than PCC (162). PCC-containing proteins are significantly longer than those having NCCs (p = 2.10-16). The most prevalent virus families having PCC and NCC were Herpesviridae followed by Papillomaviridae. However, the single-strand RNA group has in average three times more NCC than PCC. According to the functional domain classification, a significant difference in distribution was observed between PCC and NCC (p = 2. 10−8) with the occurrence of NCCs being more frequent in C-terminal region while PCC more often fall within functional domains. Only 29 proteins sequences contained both NCC and PCC. Moreover, 101 NCC were conserved in 84 proteins while only 62 PCC were conserved in 60 protein sequences. To understand the mechanism by which the membrane translocation functionalities are embedded in viral proteins, we screened our PCC for sequences corresponding to cell-penetrating peptides (CPPs) using two online databases: CellPPd and CPPpred. We found that all our PCCs, having length varying from 7 to 30 amino-acids were predicted as CPPs. Experimental validation is required to improve our understanding of the role of these PCCs in viral infection process. Conclusions: Screening distinctive cluster charges in viral proteomes suggested a functional role of these protein regions and might provide potential clues to improve the current understanding of viral diseases in order to tailor better preventive and therapeutic approaches. 
ISSN : 1471-2164 
Journal Name : BMC genomics 
Volume : 17 
Issue Number : 9 
Publishing Year : 1437 AH
2016 AD 
Article Type : Article 
Added Date : Thursday, July 20, 2017 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Najla KharratKharrat, Najla ResearcherDoctorate 
Sabrine BelmabroukBelmabrouk, Sabrine ResearcherDoctorate 
Rania AbdelhediAbdelhedi, Rania ResearcherDoctorate 
Riadh BenmarzougBenmarzoug, Riadh ResearcherDoctorate 
Mourad AssidiAssidi, Mourad ResearcherDoctorate 
Mohammed H. Al QahtaniAl Qahtani, Mohammed H.ResearcherDoctorate 
Ahmed RebaiRebai, Ahmed ResearcherDoctorate 

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