In Silico Subtractive Proteomics Approach for Identification of Potential Drug Targets in <i>Staphylococcus saprophyticus</i>
<i>Staphylococcus saprophyticus</i> is a uropathogenic bacteria responsible for acute urinary tract infections (UTIs) mainly in young female patients. Patients suffering from urinary catheterization, pregnant patients, the elderly as well as those with nosocomial UTIs are at greater risk...
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doaj-4e80a3da34594536be63cb52f69928432020-11-25T03:04:28ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012020-05-01173644364410.3390/ijerph17103644In Silico Subtractive Proteomics Approach for Identification of Potential Drug Targets in <i>Staphylococcus saprophyticus</i>Farah Shahid0Usman Ali Ashfaq1Sania Saeed2Samman Munir3Ahmad Almatroudi4Mohsin Khurshid5Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Punjab 38000, PakistanDepartment of Bioinformatics and Biotechnology, Government College University, Faisalabad, Punjab 38000, PakistanDepartment of Bioinformatics and Biotechnology, Government College University, Faisalabad, Punjab 38000, PakistanDepartment of Bioinformatics and Biotechnology, Government College University, Faisalabad, Punjab 38000, PakistanDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 52571, Saudi ArabiaDepartment of Microbiology, Government College University, Faisalabad, Punjab 38000, Pakistan<i>Staphylococcus saprophyticus</i> is a uropathogenic bacteria responsible for acute urinary tract infections (UTIs) mainly in young female patients. Patients suffering from urinary catheterization, pregnant patients, the elderly as well as those with nosocomial UTIs are at greater risk of the colonizing <i>S. saprophyticus</i> infection. The causative factors include benign prostatic hyperplasia, indwelling catheter, neurogenic bladder, pregnancy, and history of frequent UTIs. Recent findings have exhibited that <i>S. saprophyticus</i> is resistant to several antimicrobial agents. Moreover, there is a global concern regarding the increasing level of antimicrobial resistance, which leads to treatment failure and reduced effectiveness of broad-spectrum antimicrobials. Therefore, a novel approach is being utilized to combat resistant microbes since the past few years. Subtractive proteome analysis has been performed with the entire proteome of <i>S. saprophyticus</i> strain American Type Culture Collection (ATCC) 15305 using several bioinformatics servers and software. The proteins that were non-homologous to humans and bacteria were identified for metabolic pathway analysis. Only four cytoplasmic proteins were found possessing the potential of novel drug target candidates. The development of innovative therapeutic agents by targeting the inhibition of any essential proteins may disrupt the metabolic pathways specific to the pathogen, thus causing destruction as well as eradication of the pathogen from a particular host. The identified targets can facilitate in designing novel and potent drugs against <i>S. saprophyticus</i> strain ATCC 15305.https://www.mdpi.com/1660-4601/17/10/3644subtractive proteomicsdrug targets identificationbioinformatics<i>Staphylococcus saprophyticus</i> |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Farah Shahid Usman Ali Ashfaq Sania Saeed Samman Munir Ahmad Almatroudi Mohsin Khurshid |
spellingShingle |
Farah Shahid Usman Ali Ashfaq Sania Saeed Samman Munir Ahmad Almatroudi Mohsin Khurshid In Silico Subtractive Proteomics Approach for Identification of Potential Drug Targets in <i>Staphylococcus saprophyticus</i> International Journal of Environmental Research and Public Health subtractive proteomics drug targets identification bioinformatics <i>Staphylococcus saprophyticus</i> |
author_facet |
Farah Shahid Usman Ali Ashfaq Sania Saeed Samman Munir Ahmad Almatroudi Mohsin Khurshid |
author_sort |
Farah Shahid |
title |
In Silico Subtractive Proteomics Approach for Identification of Potential Drug Targets in <i>Staphylococcus saprophyticus</i> |
title_short |
In Silico Subtractive Proteomics Approach for Identification of Potential Drug Targets in <i>Staphylococcus saprophyticus</i> |
title_full |
In Silico Subtractive Proteomics Approach for Identification of Potential Drug Targets in <i>Staphylococcus saprophyticus</i> |
title_fullStr |
In Silico Subtractive Proteomics Approach for Identification of Potential Drug Targets in <i>Staphylococcus saprophyticus</i> |
title_full_unstemmed |
In Silico Subtractive Proteomics Approach for Identification of Potential Drug Targets in <i>Staphylococcus saprophyticus</i> |
title_sort |
in silico subtractive proteomics approach for identification of potential drug targets in <i>staphylococcus saprophyticus</i> |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1661-7827 1660-4601 |
publishDate |
2020-05-01 |
description |
<i>Staphylococcus saprophyticus</i> is a uropathogenic bacteria responsible for acute urinary tract infections (UTIs) mainly in young female patients. Patients suffering from urinary catheterization, pregnant patients, the elderly as well as those with nosocomial UTIs are at greater risk of the colonizing <i>S. saprophyticus</i> infection. The causative factors include benign prostatic hyperplasia, indwelling catheter, neurogenic bladder, pregnancy, and history of frequent UTIs. Recent findings have exhibited that <i>S. saprophyticus</i> is resistant to several antimicrobial agents. Moreover, there is a global concern regarding the increasing level of antimicrobial resistance, which leads to treatment failure and reduced effectiveness of broad-spectrum antimicrobials. Therefore, a novel approach is being utilized to combat resistant microbes since the past few years. Subtractive proteome analysis has been performed with the entire proteome of <i>S. saprophyticus</i> strain American Type Culture Collection (ATCC) 15305 using several bioinformatics servers and software. The proteins that were non-homologous to humans and bacteria were identified for metabolic pathway analysis. Only four cytoplasmic proteins were found possessing the potential of novel drug target candidates. The development of innovative therapeutic agents by targeting the inhibition of any essential proteins may disrupt the metabolic pathways specific to the pathogen, thus causing destruction as well as eradication of the pathogen from a particular host. The identified targets can facilitate in designing novel and potent drugs against <i>S. saprophyticus</i> strain ATCC 15305. |
topic |
subtractive proteomics drug targets identification bioinformatics <i>Staphylococcus saprophyticus</i> |
url |
https://www.mdpi.com/1660-4601/17/10/3644 |
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