Literature DB >> 17477495

Metabolic pathway analysis of S. pneumoniae: an in silico approach towards drug-design.

Shailza Singh1, B K Malik, D K Sharma.   

Abstract

The emergence of multidrug resistant varieties of Streptococcus pneumoniae (S. pneumoniae) has led to a search for novel drug targets. An in silico comparative analysis of metabolic pathways of the host Homo sapiens (H. sapiens) and the pathogen S. pneumoniae have been performed. Enzymes from the biochemical pathways of S. pneumoniae from the KEGG metabolic pathway database were compared with proteins from the host H. sapiens, by performing a BLASTp search against the non-redundant database restricted to the H. sapiens subset. The e-value threshold cutoff was set to 0.005. Enzymes, which do not show similarity to any of the host proteins, below this threshold, were filtered out as potential drug targets. Five pathways unique to the pathogen S. pneumoniae when compared to the host H. sapiens have been identified. Potential drug targets from these pathways could be useful for the discovery of broad-spectrum drugs. Potential drug targets were also identified from pathways related to lipid metabolism, carbohydrate metabolism, amino acid metabolism, energy metabolism, vitamin and cofactor biosynthetic pathways and nucleotide metabolism. Of the 161 distinct targets identified from these pathways, many are in various stages of progress at the Microbial Genome Database. However, 44 of the targets are new and can be considered for rational drug design. The study was successful in listing out potential drug targets from the S. pneumoniae proteome involved in vital aspects of the pathogen's metabolism, persistence, virulence and cell wall biosynthesis. This systematic evaluation of metabolic pathways of host and pathogen through reliable and conventional bioinformatics approach can be extended to other pathogens of clinical interest.

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Year:  2007        PMID: 17477495     DOI: 10.1142/s0219720007002564

Source DB:  PubMed          Journal:  J Bioinform Comput Biol        ISSN: 0219-7200            Impact factor:   1.122


  4 in total

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2.  Label-Free Comparative Proteomics of Differentially Expressed Mycobacterium tuberculosis Protein in Rifampicin-Related Drug-Resistant Strains.

Authors:  Nadeem Ullah; Ling Hao; Jo-Lewis Banga Ndzouboukou; Shiyun Chen; Yaqi Wu; Longmeng Li; Eman Borham Mohamed; Yangbo Hu; Xionglin Fan
Journal:  Pathogens       Date:  2021-05-15

3.  Identification and characterization of potential therapeutic candidates in emerging human pathogen Mycobacterium abscessus: a novel hierarchical in silico approach.

Authors:  Buvaneswari Shanmugham; Archana Pan
Journal:  PLoS One       Date:  2013-03-19       Impact factor: 3.240

4.  In silico characterization of putative drug targets in Staphylococcus saprophyticus, causing bovine mastitis.

Authors:  Pramod C Bhasme; Mahantesh M Kurjogi; Rajeshwari D Sanakal; Rohit B Kaliwal; Basappa B Kaliwal
Journal:  Bioinformation       Date:  2013-04-13
  4 in total

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