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Subtractive Genomics Approach for Identification of Novel Therapeutic Drug Targets in Mycoplasma genitalium
Mycoplasma genitalium infection is a sexually transmitted infection that causes urethritis, cervicitis, and pelvic inflammatory disease (PID) in men and women. The global rise in antimicrobial resistance against recommended antibiotics for the treatment of M. genitalium infection has triggered the n...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402164/ https://www.ncbi.nlm.nih.gov/pubmed/34451385 http://dx.doi.org/10.3390/pathogens10080921 |
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author | Fatoba, Abiodun Joseph Okpeku, Moses Adeleke, Matthew Adekunle |
author_facet | Fatoba, Abiodun Joseph Okpeku, Moses Adeleke, Matthew Adekunle |
author_sort | Fatoba, Abiodun Joseph |
collection | PubMed |
description | Mycoplasma genitalium infection is a sexually transmitted infection that causes urethritis, cervicitis, and pelvic inflammatory disease (PID) in men and women. The global rise in antimicrobial resistance against recommended antibiotics for the treatment of M. genitalium infection has triggered the need to explore novel drug targets against this pathogen. The application of a bioinformatics approach through subtractive genomics has proven highly instrumental in predicting novel therapeutic targets against a pathogen. This study aimed to identify essential and non-homologous proteins with unique metabolic pathways in the pathogen that could serve as novel drug targets. Based on this, a manual comparison of the metabolic pathways of M. genitalium and the human host was done, generating nine pathogen-specific metabolic pathways. Additionally, the analysis of the whole proteome of M. genitalium using different bioinformatics databases generated 21 essential, non-homologous, and cytoplasmic proteins involved in nine pathogen-specific metabolic pathways. The further screening of these 21 cytoplasmic proteins in the DrugBank database generated 13 druggable proteins, which showed similarity with FDA-approved and experimental small-molecule drugs. A total of seven proteins that are involved in seven different pathogen-specific metabolic pathways were finally selected as novel putative drug targets after further analysis. Therefore, these proposed drug targets could aid in the design of potent drugs that may inhibit the functionality of these pathogen-specific metabolic pathways and, as such, lead to the eradication of this pathogen. |
format | Online Article Text |
id | pubmed-8402164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84021642021-08-29 Subtractive Genomics Approach for Identification of Novel Therapeutic Drug Targets in Mycoplasma genitalium Fatoba, Abiodun Joseph Okpeku, Moses Adeleke, Matthew Adekunle Pathogens Article Mycoplasma genitalium infection is a sexually transmitted infection that causes urethritis, cervicitis, and pelvic inflammatory disease (PID) in men and women. The global rise in antimicrobial resistance against recommended antibiotics for the treatment of M. genitalium infection has triggered the need to explore novel drug targets against this pathogen. The application of a bioinformatics approach through subtractive genomics has proven highly instrumental in predicting novel therapeutic targets against a pathogen. This study aimed to identify essential and non-homologous proteins with unique metabolic pathways in the pathogen that could serve as novel drug targets. Based on this, a manual comparison of the metabolic pathways of M. genitalium and the human host was done, generating nine pathogen-specific metabolic pathways. Additionally, the analysis of the whole proteome of M. genitalium using different bioinformatics databases generated 21 essential, non-homologous, and cytoplasmic proteins involved in nine pathogen-specific metabolic pathways. The further screening of these 21 cytoplasmic proteins in the DrugBank database generated 13 druggable proteins, which showed similarity with FDA-approved and experimental small-molecule drugs. A total of seven proteins that are involved in seven different pathogen-specific metabolic pathways were finally selected as novel putative drug targets after further analysis. Therefore, these proposed drug targets could aid in the design of potent drugs that may inhibit the functionality of these pathogen-specific metabolic pathways and, as such, lead to the eradication of this pathogen. MDPI 2021-07-21 /pmc/articles/PMC8402164/ /pubmed/34451385 http://dx.doi.org/10.3390/pathogens10080921 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Fatoba, Abiodun Joseph Okpeku, Moses Adeleke, Matthew Adekunle Subtractive Genomics Approach for Identification of Novel Therapeutic Drug Targets in Mycoplasma genitalium |
title | Subtractive Genomics Approach for Identification of Novel Therapeutic Drug Targets in Mycoplasma genitalium |
title_full | Subtractive Genomics Approach for Identification of Novel Therapeutic Drug Targets in Mycoplasma genitalium |
title_fullStr | Subtractive Genomics Approach for Identification of Novel Therapeutic Drug Targets in Mycoplasma genitalium |
title_full_unstemmed | Subtractive Genomics Approach for Identification of Novel Therapeutic Drug Targets in Mycoplasma genitalium |
title_short | Subtractive Genomics Approach for Identification of Novel Therapeutic Drug Targets in Mycoplasma genitalium |
title_sort | subtractive genomics approach for identification of novel therapeutic drug targets in mycoplasma genitalium |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402164/ https://www.ncbi.nlm.nih.gov/pubmed/34451385 http://dx.doi.org/10.3390/pathogens10080921 |
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