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Subtractive genomics and molecular docking approach to identify drug targets against Stenotrophomonas maltophilia

Stenotrophomonas maltophilia is a multidrug resistant pathogen associated with high mortality and morbidity in patients having compromised immunity. The efflux systems of S. maltophilia include SmeABC and SmeDEF proteins, which assist in acquisition of multiple-drug-resistance. In this study, proteo...

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Autores principales: Saleem, Hira, Ashfaq, Usman Ali, Nadeem, Habibullah, Zubair, Muhammad, Siddique, Muhammad Hussnain, Rasul, Ijaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8673605/
https://www.ncbi.nlm.nih.gov/pubmed/34910751
http://dx.doi.org/10.1371/journal.pone.0261111
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author Saleem, Hira
Ashfaq, Usman Ali
Nadeem, Habibullah
Zubair, Muhammad
Siddique, Muhammad Hussnain
Rasul, Ijaz
author_facet Saleem, Hira
Ashfaq, Usman Ali
Nadeem, Habibullah
Zubair, Muhammad
Siddique, Muhammad Hussnain
Rasul, Ijaz
author_sort Saleem, Hira
collection PubMed
description Stenotrophomonas maltophilia is a multidrug resistant pathogen associated with high mortality and morbidity in patients having compromised immunity. The efflux systems of S. maltophilia include SmeABC and SmeDEF proteins, which assist in acquisition of multiple-drug-resistance. In this study, proteome based mapping was utilized to find out the potential drug targets for S. maltophilia strain k279a. Various tools of computational biology were applied to remove the human-specific homologous and pathogen-specific paralogous sequences from the bacterial proteome. The CD-HIT analysis selected 4315 proteins from total proteome count of 4365 proteins. Geptop identified 407 essential proteins, while the BlastP revealed approximately 85 non-homologous proteins in the human genome. Moreover, metabolic pathway and subcellular location analysis were performed for essential bacterial genes, to describe their role in various cellular processes. Only two essential proteins (Acyl-[acyl-carrier-protein]—UDP-N acetyl glucosamine O-acyltransferase and D-alanine-D-alanine ligase) as candidate for potent targets were found in proteome of the pathogen, in order to design new drugs. An online tool, Swiss model was employed to model the 3D structures of both target proteins. A library of 5000 phytochemicals was docked against those proteins through the molecular operating environment (MOE). That resulted in to eight inhibitors for both proteins i.e. enterodiol, aloin, ononin and rhinacanthinF for the Acyl-[acyl-carrier-protein]—UDP-N acetyl glucosamine O-acyltransferase, and rhazin, alkannin beta, aloesin and ancistrocladine for the D-alanine-D-alanine ligase. Finally the ADMET was done through ADMETsar. This study supported the development of natural as well as cost-effective drugs against S. maltophilia. These inhibitors displayed the effective binding interactions and safe drug profiles. However, further in vivo and in vitro validation experiment might be performed to check their drug effectiveness, biocompatibility and their role as effective inhibitors.
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spelling pubmed-86736052021-12-16 Subtractive genomics and molecular docking approach to identify drug targets against Stenotrophomonas maltophilia Saleem, Hira Ashfaq, Usman Ali Nadeem, Habibullah Zubair, Muhammad Siddique, Muhammad Hussnain Rasul, Ijaz PLoS One Research Article Stenotrophomonas maltophilia is a multidrug resistant pathogen associated with high mortality and morbidity in patients having compromised immunity. The efflux systems of S. maltophilia include SmeABC and SmeDEF proteins, which assist in acquisition of multiple-drug-resistance. In this study, proteome based mapping was utilized to find out the potential drug targets for S. maltophilia strain k279a. Various tools of computational biology were applied to remove the human-specific homologous and pathogen-specific paralogous sequences from the bacterial proteome. The CD-HIT analysis selected 4315 proteins from total proteome count of 4365 proteins. Geptop identified 407 essential proteins, while the BlastP revealed approximately 85 non-homologous proteins in the human genome. Moreover, metabolic pathway and subcellular location analysis were performed for essential bacterial genes, to describe their role in various cellular processes. Only two essential proteins (Acyl-[acyl-carrier-protein]—UDP-N acetyl glucosamine O-acyltransferase and D-alanine-D-alanine ligase) as candidate for potent targets were found in proteome of the pathogen, in order to design new drugs. An online tool, Swiss model was employed to model the 3D structures of both target proteins. A library of 5000 phytochemicals was docked against those proteins through the molecular operating environment (MOE). That resulted in to eight inhibitors for both proteins i.e. enterodiol, aloin, ononin and rhinacanthinF for the Acyl-[acyl-carrier-protein]—UDP-N acetyl glucosamine O-acyltransferase, and rhazin, alkannin beta, aloesin and ancistrocladine for the D-alanine-D-alanine ligase. Finally the ADMET was done through ADMETsar. This study supported the development of natural as well as cost-effective drugs against S. maltophilia. These inhibitors displayed the effective binding interactions and safe drug profiles. However, further in vivo and in vitro validation experiment might be performed to check their drug effectiveness, biocompatibility and their role as effective inhibitors. Public Library of Science 2021-12-15 /pmc/articles/PMC8673605/ /pubmed/34910751 http://dx.doi.org/10.1371/journal.pone.0261111 Text en © 2021 Saleem et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Saleem, Hira
Ashfaq, Usman Ali
Nadeem, Habibullah
Zubair, Muhammad
Siddique, Muhammad Hussnain
Rasul, Ijaz
Subtractive genomics and molecular docking approach to identify drug targets against Stenotrophomonas maltophilia
title Subtractive genomics and molecular docking approach to identify drug targets against Stenotrophomonas maltophilia
title_full Subtractive genomics and molecular docking approach to identify drug targets against Stenotrophomonas maltophilia
title_fullStr Subtractive genomics and molecular docking approach to identify drug targets against Stenotrophomonas maltophilia
title_full_unstemmed Subtractive genomics and molecular docking approach to identify drug targets against Stenotrophomonas maltophilia
title_short Subtractive genomics and molecular docking approach to identify drug targets against Stenotrophomonas maltophilia
title_sort subtractive genomics and molecular docking approach to identify drug targets against stenotrophomonas maltophilia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8673605/
https://www.ncbi.nlm.nih.gov/pubmed/34910751
http://dx.doi.org/10.1371/journal.pone.0261111
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