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Please use this identifier to cite or link to this item: http://142.54.178.187:9060/xmlui/handle/123456789/13804
Title: In-silico three dimensional structure prediction of important Neisseria meningitidis proteins
Authors: Ali, Muhammad
Aurongzeb, Muhammad
Rashid, Yasmeen
Keywords: Neisseria meningitidis
homology modeling
amino acid biosynthesis
MODELLER
Issue Date: 9-Mar-2021
Publisher: Karachi:Pakistan Journal of Pharmaceutical Sciences, university of Karachi.
Citation: Ali, M., Aurongzeb, M., & Rashid, Y. (2021). In-silico three dimensional structure prediction of important Neisseria meningitidis proteins. Pakistan Journal of Pharmaceutical Sciences, 34(2).
Abstract: Pathogenic bacteria Neisseria meningitidis cause serious infection i.e. meningitis (infection of the brain) worldwide. Among five pathogenic serogroups, serogroup B causes life threatening illness as there is no effective vaccine available due to its poor immunogenicity. A total of 73 genes in N. meningitidis genome have identified that were proved to be essential for meningococcal disease and were considered as crucial drug targets. We targeted five of those proteins, which are known to involve in amino acid biosynthesis, for homology-based three dimensional structure determinations by MODELLER (v9.19) and evaluated the models by PROSA and PROCHECK programs. Detailed structural analyses of NMB0358, NMB0943, NMB1446, NMB1577 and NMB1814 proteins were carried out during the present research. Based on a high degree of sequence conservation between target and template protein sequences, excellent models were built. The overall three dimensional architectures as well as topologies of all the proteins were quite similar with that of the templates. Active site residues of all the homology models were quite conserved with respect to their respective templates indicating similar catalytic mechanisms in these orthologues. Here, we are reporting, for the first time, detailed three dimensional folds of N. meningitidis pathogenic factors involved in a crucial cellular metabolic pathway. Moreover, the three dimensional structural information of these important drug targets would be utilized in computer-aided drug designing in future.
URI: http://142.54.178.187:9060/xmlui/handle/123456789/13804
ISSN: 1011-601X
Appears in Collections:Issue 2

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