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Genomic landscape of the emerging XDR Salmonella Typhi for mining druggable targets clpP, hisH, folP and gpmI and screening of novel TCM inhibitors, molecular docking and simulation analyses

Typhoid fever is transmitted by ingestion of polluted water, contaminated food, and stool of typhoid-infected individuals, mostly in developing countries with poor hygienic environments. To find novel therapeutic targets and inhibitors, We employed a subtractive genomics strategy towards Salmonella...

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Autores principales: Afzal, Muneeba, Hassan, Syed Shah, Sohail, Saman, Camps, Ihosvany, Khan, Yasmin, Basharat, Zarrin, Karim, Asad, Aurongzeb, Muhammad, Irfan, Muhammad, Salman, Muhammad, Morel, Carlos M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860245/
https://www.ncbi.nlm.nih.gov/pubmed/36681806
http://dx.doi.org/10.1186/s12866-023-02756-6
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author Afzal, Muneeba
Hassan, Syed Shah
Sohail, Saman
Camps, Ihosvany
Khan, Yasmin
Basharat, Zarrin
Karim, Asad
Aurongzeb, Muhammad
Irfan, Muhammad
Salman, Muhammad
Morel, Carlos M.
author_facet Afzal, Muneeba
Hassan, Syed Shah
Sohail, Saman
Camps, Ihosvany
Khan, Yasmin
Basharat, Zarrin
Karim, Asad
Aurongzeb, Muhammad
Irfan, Muhammad
Salman, Muhammad
Morel, Carlos M.
author_sort Afzal, Muneeba
collection PubMed
description Typhoid fever is transmitted by ingestion of polluted water, contaminated food, and stool of typhoid-infected individuals, mostly in developing countries with poor hygienic environments. To find novel therapeutic targets and inhibitors, We employed a subtractive genomics strategy towards Salmonella Typhi and the complete genomes of eight strains were primarily subjected to the EDGAR tool to predict the core genome (n = 3207). Human non-homology (n = 2450) was followed by essential genes identification (n = 37). The STRING database predicted maximum protein-protein interactions, followed by cellular localization. The virulent/immunogenic ability of predicted genes were checked to differentiate drug and vaccine targets. Furthermore, the 3D models of the identified putative proteins encoded by the respective genes were constructed and subjected to druggability analyses where only “highly druggable” proteins were selected for molecular docking and simulation analyses. The putative targets ATP-dependent CLP protease proteolytic subunit, Imidazole glycerol phosphate synthase hisH, 7,8-dihydropteroate synthase folP and 2,3-bisphosphoglycerate-independent phosphoglycerate mutase gpmI were screened against a drug-like library (n = 12,000) and top hits were selected based on H-bonds, RMSD and energy scores. Finally, the ADMET properties for novel inhibitors ZINC19340748, ZINC09319798, ZINC00494142, ZINC32918650 were optimized followed by binding free energy (MM/PBSA) calculation for ligand-receptor complexes. The findings of this work are expected to aid in expediting the identification of novel protein targets and inhibitors in combating typhoid Salmonellosis, in addition to the already existing therapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-023-02756-6.
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spelling pubmed-98602452023-01-22 Genomic landscape of the emerging XDR Salmonella Typhi for mining druggable targets clpP, hisH, folP and gpmI and screening of novel TCM inhibitors, molecular docking and simulation analyses Afzal, Muneeba Hassan, Syed Shah Sohail, Saman Camps, Ihosvany Khan, Yasmin Basharat, Zarrin Karim, Asad Aurongzeb, Muhammad Irfan, Muhammad Salman, Muhammad Morel, Carlos M. BMC Microbiol Research Typhoid fever is transmitted by ingestion of polluted water, contaminated food, and stool of typhoid-infected individuals, mostly in developing countries with poor hygienic environments. To find novel therapeutic targets and inhibitors, We employed a subtractive genomics strategy towards Salmonella Typhi and the complete genomes of eight strains were primarily subjected to the EDGAR tool to predict the core genome (n = 3207). Human non-homology (n = 2450) was followed by essential genes identification (n = 37). The STRING database predicted maximum protein-protein interactions, followed by cellular localization. The virulent/immunogenic ability of predicted genes were checked to differentiate drug and vaccine targets. Furthermore, the 3D models of the identified putative proteins encoded by the respective genes were constructed and subjected to druggability analyses where only “highly druggable” proteins were selected for molecular docking and simulation analyses. The putative targets ATP-dependent CLP protease proteolytic subunit, Imidazole glycerol phosphate synthase hisH, 7,8-dihydropteroate synthase folP and 2,3-bisphosphoglycerate-independent phosphoglycerate mutase gpmI were screened against a drug-like library (n = 12,000) and top hits were selected based on H-bonds, RMSD and energy scores. Finally, the ADMET properties for novel inhibitors ZINC19340748, ZINC09319798, ZINC00494142, ZINC32918650 were optimized followed by binding free energy (MM/PBSA) calculation for ligand-receptor complexes. The findings of this work are expected to aid in expediting the identification of novel protein targets and inhibitors in combating typhoid Salmonellosis, in addition to the already existing therapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-023-02756-6. BioMed Central 2023-01-21 /pmc/articles/PMC9860245/ /pubmed/36681806 http://dx.doi.org/10.1186/s12866-023-02756-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Afzal, Muneeba
Hassan, Syed Shah
Sohail, Saman
Camps, Ihosvany
Khan, Yasmin
Basharat, Zarrin
Karim, Asad
Aurongzeb, Muhammad
Irfan, Muhammad
Salman, Muhammad
Morel, Carlos M.
Genomic landscape of the emerging XDR Salmonella Typhi for mining druggable targets clpP, hisH, folP and gpmI and screening of novel TCM inhibitors, molecular docking and simulation analyses
title Genomic landscape of the emerging XDR Salmonella Typhi for mining druggable targets clpP, hisH, folP and gpmI and screening of novel TCM inhibitors, molecular docking and simulation analyses
title_full Genomic landscape of the emerging XDR Salmonella Typhi for mining druggable targets clpP, hisH, folP and gpmI and screening of novel TCM inhibitors, molecular docking and simulation analyses
title_fullStr Genomic landscape of the emerging XDR Salmonella Typhi for mining druggable targets clpP, hisH, folP and gpmI and screening of novel TCM inhibitors, molecular docking and simulation analyses
title_full_unstemmed Genomic landscape of the emerging XDR Salmonella Typhi for mining druggable targets clpP, hisH, folP and gpmI and screening of novel TCM inhibitors, molecular docking and simulation analyses
title_short Genomic landscape of the emerging XDR Salmonella Typhi for mining druggable targets clpP, hisH, folP and gpmI and screening of novel TCM inhibitors, molecular docking and simulation analyses
title_sort genomic landscape of the emerging xdr salmonella typhi for mining druggable targets clpp, hish, folp and gpmi and screening of novel tcm inhibitors, molecular docking and simulation analyses
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860245/
https://www.ncbi.nlm.nih.gov/pubmed/36681806
http://dx.doi.org/10.1186/s12866-023-02756-6
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