In Silico Identification of Escherichia coli Curli Protein Phytochemical Inhibitors as Potential Antibiotic Drug Compounds for Urinary Tract Infection via Molecular Docking

Urinary tract infections (UTIs) are among the most common illnesses impacting individuals and are usually caused by uropathogenic bacteria such as E. coli. The pursuit to address E. coli responsible for urinary tract infections has prompted numerous researchers to design antibiotic medications. This...

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Main Authors: Den Marc Exala, Earl Adriane Cano, Angela Nole Shayenne Coderos, Denise Alexandra Cruz, Samson Decasa, Juliana Carlidy Elauria, Jalen Rose Esguerra, Abigail Anne Ferrer
Format: Article
Language:English
Published: ResearchersLinks, Ltd 2025-04-01
Series:Novel Research in Microbiology Journal
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Online Access:https://researcherslinks.com/current-issues/In-Silico-Identification-of-Escherichia-coli/44/1/11098/html
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author Den Marc Exala
Earl Adriane Cano
Angela Nole Shayenne Coderos
Denise Alexandra Cruz
Samson Decasa
Juliana Carlidy Elauria
Jalen Rose Esguerra
Abigail Anne Ferrer
author_facet Den Marc Exala
Earl Adriane Cano
Angela Nole Shayenne Coderos
Denise Alexandra Cruz
Samson Decasa
Juliana Carlidy Elauria
Jalen Rose Esguerra
Abigail Anne Ferrer
author_sort Den Marc Exala
collection DOAJ
description Urinary tract infections (UTIs) are among the most common illnesses impacting individuals and are usually caused by uropathogenic bacteria such as E. coli. The pursuit to address E. coli responsible for urinary tract infections has prompted numerous researchers to design antibiotic medications. This study’s aim was to identify the antibiotic potential of phytochemical compounds derived from medicinal plants by examining their molecular interactions and binding affinities with E. coli curli proteins, and to evaluate their structure–activity and structure–property relationships in relation to antibiotic effectiveness. This study utilized candidate selection and molecular docking through an in silico approach. Additionally, it employed PyRx and BIOVIA for molecular docking analysis and SwissADME for ADMET prediction. In this study, 12 potent phytochemical inhibitors were identified, where Kaempferol (-6.5 and -7.5), Flavonoids (-5.8 and -6.9), and Ladanein (-6.2 and -7.1) showed the greatest results as drug development prospects, as they expressed good binding affinity with E. coli O157:H7 and E. coli O69:H11, respectively, and with favorable ADME properties. The study findings suggest that these phytochemicals can be used as potential antibiotic drug inhibitors against E. coli curli protein CsgA. The study’s findings offer significant insights that are advantageous for progressing research on antibiotic medications.
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spelling doaj-art-acc5efff853d443ca1eb3776063111a72025-08-20T02:28:16ZengResearchersLinks, LtdNovel Research in Microbiology Journal2537-02862537-02942025-04-0192116139https://dx.doi.org/10.17582/journal.NRMJ/2025/9.2.116.139In Silico Identification of Escherichia coli Curli Protein Phytochemical Inhibitors as Potential Antibiotic Drug Compounds for Urinary Tract Infection via Molecular DockingDen Marc Exala0Earl Adriane Cano1Angela Nole Shayenne Coderos2Denise Alexandra Cruz3Samson Decasa4Juliana Carlidy Elauria5Jalen Rose Esguerra 6Abigail Anne Ferrer7Department of Medical Technology, Institute of Health Sciences and Nursing, Far Eastern University, Sampaloc, Manila, PhilippinesDepartment of Medical Technology, Institute of Health Sciences and Nursing, Far Eastern University, Sampaloc, Manila, PhilippinesDepartment of Medical Technology, Institute of Health Sciences and Nursing, Far Eastern University, Sampaloc, Manila, PhilippinesDepartment of Medical Technology, Institute of Health Sciences and Nursing, Far Eastern University, Sampaloc, Manila, PhilippinesDepartment of Medical Technology, Institute of Health Sciences and Nursing, Far Eastern University, Sampaloc, Manila, PhilippinesDepartment of Medical Technology, Institute of Health Sciences and Nursing, Far Eastern University, Sampaloc, Manila, PhilippinesDepartment of Medical Technology, Institute of Health Sciences and Nursing, Far Eastern University, Sampaloc, Manila, PhilippinesDepartment of Medical Technology, Institute of Health Sciences and Nursing, Far Eastern University, Sampaloc, Manila, PhilippinesUrinary tract infections (UTIs) are among the most common illnesses impacting individuals and are usually caused by uropathogenic bacteria such as E. coli. The pursuit to address E. coli responsible for urinary tract infections has prompted numerous researchers to design antibiotic medications. This study’s aim was to identify the antibiotic potential of phytochemical compounds derived from medicinal plants by examining their molecular interactions and binding affinities with E. coli curli proteins, and to evaluate their structure–activity and structure–property relationships in relation to antibiotic effectiveness. This study utilized candidate selection and molecular docking through an in silico approach. Additionally, it employed PyRx and BIOVIA for molecular docking analysis and SwissADME for ADMET prediction. In this study, 12 potent phytochemical inhibitors were identified, where Kaempferol (-6.5 and -7.5), Flavonoids (-5.8 and -6.9), and Ladanein (-6.2 and -7.1) showed the greatest results as drug development prospects, as they expressed good binding affinity with E. coli O157:H7 and E. coli O69:H11, respectively, and with favorable ADME properties. The study findings suggest that these phytochemicals can be used as potential antibiotic drug inhibitors against E. coli curli protein CsgA. The study’s findings offer significant insights that are advantageous for progressing research on antibiotic medications.https://researcherslinks.com/current-issues/In-Silico-Identification-of-Escherichia-coli/44/1/11098/htmlescherichia colicurli proteinmolecular dockingphytochemicalsbinding affinityantibiotic medications
spellingShingle Den Marc Exala
Earl Adriane Cano
Angela Nole Shayenne Coderos
Denise Alexandra Cruz
Samson Decasa
Juliana Carlidy Elauria
Jalen Rose Esguerra
Abigail Anne Ferrer
In Silico Identification of Escherichia coli Curli Protein Phytochemical Inhibitors as Potential Antibiotic Drug Compounds for Urinary Tract Infection via Molecular Docking
Novel Research in Microbiology Journal
escherichia coli
curli protein
molecular docking
phytochemicals
binding affinity
antibiotic medications
title In Silico Identification of Escherichia coli Curli Protein Phytochemical Inhibitors as Potential Antibiotic Drug Compounds for Urinary Tract Infection via Molecular Docking
title_full In Silico Identification of Escherichia coli Curli Protein Phytochemical Inhibitors as Potential Antibiotic Drug Compounds for Urinary Tract Infection via Molecular Docking
title_fullStr In Silico Identification of Escherichia coli Curli Protein Phytochemical Inhibitors as Potential Antibiotic Drug Compounds for Urinary Tract Infection via Molecular Docking
title_full_unstemmed In Silico Identification of Escherichia coli Curli Protein Phytochemical Inhibitors as Potential Antibiotic Drug Compounds for Urinary Tract Infection via Molecular Docking
title_short In Silico Identification of Escherichia coli Curli Protein Phytochemical Inhibitors as Potential Antibiotic Drug Compounds for Urinary Tract Infection via Molecular Docking
title_sort in silico identification of escherichia coli curli protein phytochemical inhibitors as potential antibiotic drug compounds for urinary tract infection via molecular docking
topic escherichia coli
curli protein
molecular docking
phytochemicals
binding affinity
antibiotic medications
url https://researcherslinks.com/current-issues/In-Silico-Identification-of-Escherichia-coli/44/1/11098/html
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