2014
DOI: 10.1016/j.compbiolchem.2014.09.005
|View full text |Cite
|
Sign up to set email alerts
|

Identification of potential drug targets by subtractive genome analysis of Bacillus anthracis A0248: An in silico approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
13
0

Year Published

2015
2015
2020
2020

Publication Types

Select...
6
4

Relationship

0
10

Authors

Journals

citations
Cited by 32 publications
(15 citation statements)
references
References 52 publications
0
13
0
Order By: Relevance
“…In this server users can exploit 10–90% sequence identity in the “sequence identity cut-off” box depending on their requirement (Huang et al, 2010). It has been widely accepted to set 60% sequence identity as cut-off to maintain a rigid criteria to remove duplicate proteins (Dutta et al, 2006; Barh and Kumar, 2009; Rahman et al, 2014; Mondal et al, 2015; Hasan et al, 2016). Therefore, we have used CDHIT server (http://weizhong-lab.ucsd.edu/cdhit_suite/cgi-bin/index.cgi?cmd=cd-hit) in which 0.6 (60%) was manually set in “sequence identity cut-off” box for the stringent selection of duplicate proteins.…”
Section: Methodsmentioning
confidence: 99%
“…In this server users can exploit 10–90% sequence identity in the “sequence identity cut-off” box depending on their requirement (Huang et al, 2010). It has been widely accepted to set 60% sequence identity as cut-off to maintain a rigid criteria to remove duplicate proteins (Dutta et al, 2006; Barh and Kumar, 2009; Rahman et al, 2014; Mondal et al, 2015; Hasan et al, 2016). Therefore, we have used CDHIT server (http://weizhong-lab.ucsd.edu/cdhit_suite/cgi-bin/index.cgi?cmd=cd-hit) in which 0.6 (60%) was manually set in “sequence identity cut-off” box for the stringent selection of duplicate proteins.…”
Section: Methodsmentioning
confidence: 99%
“…The subtractive genomics approach is very efficient and has greatly accelerated the identification of relevant drug targets against many pathogens such as M. tuberculosis and Bacillus anthracis (Hosen et al, 2014;Rahman et al, 2014). Large-scale genomic projects such as the 1000 Genome and Encode are a rich source of background information and provide a deeper understanding of the genomes in relation to diseases.…”
Section: Discussionmentioning
confidence: 99%
“…Nowadays, for the development of potential drug and vaccine targets against various infective pathogens, the most effective choice is computational based techniques (Amineni et al 2010;Barh and Kumar 2009;Damte et al 2013;Hasan et al 2016;Oany et al 2014bOany et al , 2017. The essential protein set for pathogen survival, however not in the host, can be identified by using subtractive and comparative genomics approach combined with metabolic pathway (Rahman et al 2014). Identification of non-homologous essential genes for pathogens by subtraction from both host and pathogen metabolic pathway assures no interaction of drugs with host targets.…”
Section: Introductionmentioning
confidence: 99%