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Subtractive Genomics Approach for <em>in Silico</em> Identification and Characterization of Novel Drug Targets in <em>Neisseria Meningitides Serogroup B</em> | Abstract
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
Open Access

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Research Article

Subtractive Genomics Approach for in Silico Identification and Characterization of Novel Drug Targets in Neisseria Meningitides Serogroup B

Aditya Narayan Sarangi1*, Rakesh Aggarwal1, Qamar Rahman2, Nidhi Trivedi1

1Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, INDIA

2Integral University, Lucknow, Uttar Pradesh, INDIA

*Corresponding Author:
Dr. Aditya Narayan Sarangi,
Sanjay Gandhi Postgraduate Institute of Medical Sciences,
Lucknow, Uttar Pradesh, India,
E-mail: [email protected]

Received date: August 06, 2009; Accepted date: September 15, 2009; Published date: September 16, 2009

Citation: Sarangi AN, Aggarwal R, Rahman Q, Trivedi N (2009) Subtractive Genomics Approach for in Silico Identification and Characterization of Novel Drug Targets in Neisseria Meningitidis Serogroup B. J Comput Sci Syst Biol 2: 255-258. doi:10.4172/jcsb.1000038

Copyright: © 2009 Sarangi AN, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


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.


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