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Modeling Novel Putative Drugs and Vaccine Candidates against Tick-Borne Pathogens: A Subtractive Proteomics Approach
Ticks and tick-borne pathogens (TBPs) continuously causing substantial losses to the public and veterinary health sectors. The identification of putative drug targets and vaccine candidates is crucial to control TBPs. No information has been recorded on designing novel drug targets and vaccine candi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557734/ https://www.ncbi.nlm.nih.gov/pubmed/32906620 http://dx.doi.org/10.3390/vetsci7030129 |
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author | Ali, Abid Ahmad, Shabir Wadood, Abdul Rehman, Ashfaq U. Zahid, Hafsa Qayash Khan, Muhammad Nawab, Javed Rahman, Zia Ur Alouffi, Abdulaziz S. |
author_facet | Ali, Abid Ahmad, Shabir Wadood, Abdul Rehman, Ashfaq U. Zahid, Hafsa Qayash Khan, Muhammad Nawab, Javed Rahman, Zia Ur Alouffi, Abdulaziz S. |
author_sort | Ali, Abid |
collection | PubMed |
description | Ticks and tick-borne pathogens (TBPs) continuously causing substantial losses to the public and veterinary health sectors. The identification of putative drug targets and vaccine candidates is crucial to control TBPs. No information has been recorded on designing novel drug targets and vaccine candidates based on proteins. Subtractive proteomics is an in silico approach that utilizes extensive screening for the identification of novel drug targets or vaccine candidates based on the determination of potential target proteins available in a pathogen proteome that may be used effectively to control diseases caused by these infectious agents. The present study aimed to investigate novel drug targets and vaccine candidates by utilizing subtractive proteomics to scan the available proteomes of TBPs and predict essential and non-host homologous proteins required for the survival of these diseases causing agents. Subtractive proteome analysis revealed a list of fifteen essential, non-host homologous, and unique metabolic proteins in the complete proteome of selected pathogens. Among these therapeutic target proteins, three were excluded due to the presence in host gut metagenome, eleven were found to be highly potential drug targets, while only one was found as a potential vaccine candidate against TBPs. The present study may provide a foundation to design potential drug targets and vaccine candidates for the effective control of infections caused by TBPs. |
format | Online Article Text |
id | pubmed-7557734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75577342020-10-20 Modeling Novel Putative Drugs and Vaccine Candidates against Tick-Borne Pathogens: A Subtractive Proteomics Approach Ali, Abid Ahmad, Shabir Wadood, Abdul Rehman, Ashfaq U. Zahid, Hafsa Qayash Khan, Muhammad Nawab, Javed Rahman, Zia Ur Alouffi, Abdulaziz S. Vet Sci Article Ticks and tick-borne pathogens (TBPs) continuously causing substantial losses to the public and veterinary health sectors. The identification of putative drug targets and vaccine candidates is crucial to control TBPs. No information has been recorded on designing novel drug targets and vaccine candidates based on proteins. Subtractive proteomics is an in silico approach that utilizes extensive screening for the identification of novel drug targets or vaccine candidates based on the determination of potential target proteins available in a pathogen proteome that may be used effectively to control diseases caused by these infectious agents. The present study aimed to investigate novel drug targets and vaccine candidates by utilizing subtractive proteomics to scan the available proteomes of TBPs and predict essential and non-host homologous proteins required for the survival of these diseases causing agents. Subtractive proteome analysis revealed a list of fifteen essential, non-host homologous, and unique metabolic proteins in the complete proteome of selected pathogens. Among these therapeutic target proteins, three were excluded due to the presence in host gut metagenome, eleven were found to be highly potential drug targets, while only one was found as a potential vaccine candidate against TBPs. The present study may provide a foundation to design potential drug targets and vaccine candidates for the effective control of infections caused by TBPs. MDPI 2020-09-07 /pmc/articles/PMC7557734/ /pubmed/32906620 http://dx.doi.org/10.3390/vetsci7030129 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ali, Abid Ahmad, Shabir Wadood, Abdul Rehman, Ashfaq U. Zahid, Hafsa Qayash Khan, Muhammad Nawab, Javed Rahman, Zia Ur Alouffi, Abdulaziz S. Modeling Novel Putative Drugs and Vaccine Candidates against Tick-Borne Pathogens: A Subtractive Proteomics Approach |
title | Modeling Novel Putative Drugs and Vaccine Candidates against Tick-Borne Pathogens: A Subtractive Proteomics Approach |
title_full | Modeling Novel Putative Drugs and Vaccine Candidates against Tick-Borne Pathogens: A Subtractive Proteomics Approach |
title_fullStr | Modeling Novel Putative Drugs and Vaccine Candidates against Tick-Borne Pathogens: A Subtractive Proteomics Approach |
title_full_unstemmed | Modeling Novel Putative Drugs and Vaccine Candidates against Tick-Borne Pathogens: A Subtractive Proteomics Approach |
title_short | Modeling Novel Putative Drugs and Vaccine Candidates against Tick-Borne Pathogens: A Subtractive Proteomics Approach |
title_sort | modeling novel putative drugs and vaccine candidates against tick-borne pathogens: a subtractive proteomics approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557734/ https://www.ncbi.nlm.nih.gov/pubmed/32906620 http://dx.doi.org/10.3390/vetsci7030129 |
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