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Computational Insight into Druggable Genome of Rothia mucilaginosa for Identification of Potential Drug Targets

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Title Computational Insight into Druggable Genome of Rothia mucilaginosa for Identification of Potential Drug Targets
 
Creator Ray, Manisha
 
Contributor Pradhan, D
 
Subject Rothia mucilaginosa, Druggable Genome, , DY_18, intractome analysis
 
Description The pathogenic organism Rothia mucilaginosa having the complete genome sequence. Detection of
bacterial genes that are non-homologous to human genes, and are essential for the survival of the
pathogen represents a promising means of identifying novel drug targets (Sakharkar et al., 2004).
Many infectious diseases caused by this organism. The prolonged use of antibiotics over the years has
transformed many organisms into resistant to multiple drugs (Georege and Umrania, 2011). So
emergence of drug resistance of R. mucilaginosa has led to discover novel drug targets (Yadav and
Pandey, 2013), that might facilitate the discovery of novel drugs in near future (Georege and
Umrania, 2011). Whole genome sequence of the Rothia mucilaginosa DY_18 was analysed to
identify potential drug targets. Total 1907 number of protein coding genes were studied from this
organism. The DEG analysis was done to identify essential proteins to the organism. There were 685
sequences were identified as essential proteins to R. mucilaginosa. Through BLAST search 249
protein sequences were identified as non-homologous to human; so those proteins have less side
effects to human. Again through Perl programming BLAST search was carried out against human gut
flora microorganisms; there were 45 protein sequences were screened out as non- homologous to
human gut flora. The KEGG pathway analysis was done to more validate the identified drug targets;
through this pathway analysis 8 protein sequences were taken as novel drug targets against R.
mucilaginosa based on metabolic pathways. Then to study about the intractome analysis, STRING
was used, through which the interaction between the drugs targets were analysed clearly which might
be more validate for more effective drug discovery against Rothia mucilaginosa. Therefore, the in
silico analysis provides rapid and potential approach for identification of potential and novel drug
targets.
 
Date 2017-01-04T14:06:40Z
2017-01-04T14:06:40Z
2017-01-04T14:06:40Z
2017-01-04T14:06:40Z
2015
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/94446
 
Language en
 
Relation Th;4344
 
Format application/pdf