Subtractive genomics profiling for potential drug targets identification against Moraxella catarrhalis.

Moraxella catarrhalis (M. catarrhalis) is a gram-negative bacterium, responsible for major respiratory tract and middle ear infection in infants and adults. The recent emergence of the antibiotic resistance M. catarrhalis demands the prioritization of an effective drug target as a top priority. Fort...

Full description

Bibliographic Details
Main Authors: Bilal Ashraf, Nimrah Atiq, Kanwal Khan, Abdul Wadood, Reaz Uddin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0273252
_version_ 1798001822467620864
author Bilal Ashraf
Nimrah Atiq
Kanwal Khan
Abdul Wadood
Reaz Uddin
author_facet Bilal Ashraf
Nimrah Atiq
Kanwal Khan
Abdul Wadood
Reaz Uddin
author_sort Bilal Ashraf
collection DOAJ
description Moraxella catarrhalis (M. catarrhalis) is a gram-negative bacterium, responsible for major respiratory tract and middle ear infection in infants and adults. The recent emergence of the antibiotic resistance M. catarrhalis demands the prioritization of an effective drug target as a top priority. Fortunately, the failure of new drugs and host toxicity associated with traditional drug development approaches can be avoided by using an in silico subtractive genomics approach. In the current study, the advanced in silico genome subtraction approach was applied to identify potential and pathogen-specific drug targets against M. catarrhalis. We applied a series of subtraction methods from the whole genome of pathogen based on certain steps i.e. paralogous protein that have extensive homology with humans, essential, drug like, non-virulent, and resistant proteins. Only 38 potent drug targets were identified in this study. Eventually, one protein was identified as a potential new drug target and forwarded to the structure-based studies i.e. histidine kinase (UniProt ID: D5VAF6). Furthermore, virtual screening of 2000 compounds from the ZINC database was performed against the histidine kinase that resulted in the shortlisting of three compounds as the potential therapeutic candidates based on their binding energies and the properties exhibited using ADMET analysis. The identified protein gives a platform for the discovery of a lead drug candidate that may inhibit it and may help to eradicate the otitis media caused by drug-resistant M. catarrhalis. Nevertheless, the current study helped in creating a pipeline for drug target identification that may assist wet-lab research in the future.
first_indexed 2024-04-11T11:42:21Z
format Article
id doaj.art-92ad92e4f9084c9a9dc56429519124d8
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-04-11T11:42:21Z
publishDate 2022-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-92ad92e4f9084c9a9dc56429519124d82022-12-22T04:25:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01178e027325210.1371/journal.pone.0273252Subtractive genomics profiling for potential drug targets identification against Moraxella catarrhalis.Bilal AshrafNimrah AtiqKanwal KhanAbdul WadoodReaz UddinMoraxella catarrhalis (M. catarrhalis) is a gram-negative bacterium, responsible for major respiratory tract and middle ear infection in infants and adults. The recent emergence of the antibiotic resistance M. catarrhalis demands the prioritization of an effective drug target as a top priority. Fortunately, the failure of new drugs and host toxicity associated with traditional drug development approaches can be avoided by using an in silico subtractive genomics approach. In the current study, the advanced in silico genome subtraction approach was applied to identify potential and pathogen-specific drug targets against M. catarrhalis. We applied a series of subtraction methods from the whole genome of pathogen based on certain steps i.e. paralogous protein that have extensive homology with humans, essential, drug like, non-virulent, and resistant proteins. Only 38 potent drug targets were identified in this study. Eventually, one protein was identified as a potential new drug target and forwarded to the structure-based studies i.e. histidine kinase (UniProt ID: D5VAF6). Furthermore, virtual screening of 2000 compounds from the ZINC database was performed against the histidine kinase that resulted in the shortlisting of three compounds as the potential therapeutic candidates based on their binding energies and the properties exhibited using ADMET analysis. The identified protein gives a platform for the discovery of a lead drug candidate that may inhibit it and may help to eradicate the otitis media caused by drug-resistant M. catarrhalis. Nevertheless, the current study helped in creating a pipeline for drug target identification that may assist wet-lab research in the future.https://doi.org/10.1371/journal.pone.0273252
spellingShingle Bilal Ashraf
Nimrah Atiq
Kanwal Khan
Abdul Wadood
Reaz Uddin
Subtractive genomics profiling for potential drug targets identification against Moraxella catarrhalis.
PLoS ONE
title Subtractive genomics profiling for potential drug targets identification against Moraxella catarrhalis.
title_full Subtractive genomics profiling for potential drug targets identification against Moraxella catarrhalis.
title_fullStr Subtractive genomics profiling for potential drug targets identification against Moraxella catarrhalis.
title_full_unstemmed Subtractive genomics profiling for potential drug targets identification against Moraxella catarrhalis.
title_short Subtractive genomics profiling for potential drug targets identification against Moraxella catarrhalis.
title_sort subtractive genomics profiling for potential drug targets identification against moraxella catarrhalis
url https://doi.org/10.1371/journal.pone.0273252
work_keys_str_mv AT bilalashraf subtractivegenomicsprofilingforpotentialdrugtargetsidentificationagainstmoraxellacatarrhalis
AT nimrahatiq subtractivegenomicsprofilingforpotentialdrugtargetsidentificationagainstmoraxellacatarrhalis
AT kanwalkhan subtractivegenomicsprofilingforpotentialdrugtargetsidentificationagainstmoraxellacatarrhalis
AT abdulwadood subtractivegenomicsprofilingforpotentialdrugtargetsidentificationagainstmoraxellacatarrhalis
AT reazuddin subtractivegenomicsprofilingforpotentialdrugtargetsidentificationagainstmoraxellacatarrhalis