Computational Study for the Identification of Novel Therapeutic Targets
in Haemophilus influenzae by Subtractive Genomics Approach
AbstractHaemophilus influenzae, a gram-negative, facultative anaerobic
coccobacillus, is a member of Pasteurellaceae family. It causes a
variety of invasive and non-invasive bacterial infections known as H.
influenzae infections. The rise in antibiotic resistance alarms for the
identification of novel therapeutic targets for treating H. influenzae
infections. The emerging trends in the field of Pharmacoinformatics have
aided in the prediction of novel putative therapeutic targets.
Subtractive Genomics is a simple yet powerful approach for the
identification of novel therapeutic targets for a bacterial pathogen.
The purpose of the current study is to identify novel putative
therapeutic targets for the treatment of H. influenzae infections. In
this study, the core proteome of 72 strains of H. influenzae was
analysed, and 115 proteins were found to be unique and non-homologous to
the human proteome. Further screening of these proteins led to
identification of 25 proteins involved in the 29 unique metabolic
pathways of bacteria. We have identified five novel putative therapeutic
targets for H. influenzae bacteria that are unique, non-homologous to
the human proteome, essential for the bacterial survival, and involved
in the unique metabolic pathways of bacteria.