Subtractive genomics approach for in silico identification and characterization of novel drug targets in Neisseria meningitides serogroup B

Sarangi, Aditya Narayan ; Aggarwal, Rakesh ; Rahman, Qamar ; Trivedi, Nidhi (2009) Subtractive genomics approach for in silico identification and characterization of novel drug targets in Neisseria meningitides serogroup B Journal of Computer Science & Systems Biology, 2 (5). pp. 255-258. ISSN 0974-7230

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Meningococcal disease is a life-threatening illness with annual incidence rates varying from 1 to 1000 per 100 000 persons in different parts of the world. Effective polysaccharide and polysaccharide-protein conjugate vaccines that offer protection against infection with meningococcal serogroups A, C, Y and W-135 have been licensed and are available worldwide. Serogroup B remains the most prevalent cause of meningococcal disease responsible for 32% of all meningococcal disease in the United States, 45 to 80% of the cases in Europe, and for the majority of cases in the rest of the world. The development of a vaccine against serogroup B poses the biggest problem due to the similarity between the B capsular polysaccharide structure and a polysialic acid containing glycopeptides that are a part of human brain tissue. Prevention of meningococcal disease will require the development of an effective vaccine to combat serogroup B, which is the cause of most meningococcal cases in developed countries. The availability of the complete sequence information of Neisseria meningitides serogroup B proteome has made it possible to carry out the in silico analysis of its genome for identification of potential vaccine and drug targets. Our study revealed 1413 proteins which are non-homologous to human genome. Screening these proteins using the Database of Essential Genes (DEG) resulted in the identification of 362 proteins as essential proteins of the bacterium. Analysis of the identified essential proteins, using the KEGG Automated Annotation Server (KAAS) housed at Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways database, revealed 35 enzymes of N. Meningitides that may be used as potential drug targets, as they belongs to pathways present only in the bacterium and not present in humans. Subcelluler localization prediction of these essential proteins revealed that 9 proteins lie on the outer membrane of the pathogen which could be potential vaccine targets. Screening of the functional inhibitors against these novel targets may result in discovery of novel therapeutic compounds that can be effective against Neisseria meningitides Serogroup B.

Item Type:Article
Source:Copyright of this article belongs to OMICS Publishing Group.
Keywords:Neisseria meningitides; Essential Gene; Drug Targets; Vaccine Candidates; Subtractive Genomics; Pathway Analysis
ID Code:3994
Deposited On:13 Oct 2010 07:05
Last Modified:16 May 2016 14:40

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