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Revolutionizing and identifying novel drug targets in Citrobacter koseri via subtractive proteomics and development of a multi-epitope vaccine using reverse vaccinology and immuno-informatics.
Fatima, Israr; Alshabrmi, Fahad M; Aziz, Tariq; Alamri, Abdulhakeem S; Alhomrani, Majid; Alghamdi, Saad; Alghuraybi, Reem Ahmad; Babalghith, Ahmad O; Bamagous, Ghazi A; Alhindi, Zain; Dablool, Anas S; Alhhazmi, Areej A; Alruways, Mashael W.
Afiliação
  • Fatima I; Department of Bioinformatics, College of Life Science, Northwest Agriculture and Forestry University, Yangling, China.
  • Alshabrmi FM; Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.
  • Aziz T; Laboratory of Animal Health, Food Hygiene, and Quality, Department of Agriculture, University of Ioannina, Arta, Greece.
  • Alamri AS; Department of Clinical Laboratory Sciences, The Faculty of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
  • Alhomrani M; Department of Clinical Laboratory Sciences, The Faculty of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
  • Alghamdi S; Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia.
  • Alghuraybi RA; Laboratory and Blood Bank Department, Alnoor Specialist Hospital, Ministry of Health Makkah, Makkah, Saudi Arabia.
  • Babalghith AO; Medical Genetics Department College of Medicine Umm Al-Qura University, Makkah, Saudi Arabia.
  • Bamagous GA; Department of Pharmacology and Toxicology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.
  • Alhindi Z; Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia.
  • Dablool AS; Public health Department, Health Sciences College at Al-Leith، Umm Al-Qura University, Makkah, Saudi Arabia.
  • Alhhazmi AA; Medical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
  • Alruways MW; Department of Clinical Laboratory Sciences, The Faculty of Applied Medical Sciences, Shaqra University, Shaqra, Saudi Arabia.
J Biomol Struct Dyn ; : 1-14, 2024 Feb 26.
Article em En | MEDLINE | ID: mdl-38407210
ABSTRACT
Citrobacter koseri is a gram-negative rod that has been linked to infections in people with significant comorbidities and immunocompromised immune systems. It is most commonly known to cause urinary tract infections. Thus, the development of an efficacious C. koseri vaccine is imperative, as the pathogen has acquired resistance to current antibiotics. Subtractive proteomics was employed during this research to identify potential antigenic proteins to design an effective vaccine against C. koseri. The pipeline identified two antigenic proteins as potential vaccine targets DP-3-O-acyl-N-acetylglucosamine deacetylase and Arabinose 5-phosphate isomerase. B and T cell epitopes from the specific proteins were forecasted employing several immunoinformatic and bioinformatics resources. A vaccine was created using a combination of seven cytotoxic T cell lymphocytes (CTL), five helper T cell lymphocyte (HTL), and seven linear B cell lymphocyte (LBL) epitopes. An adjuvant (ß-defensin) was added to the vaccine to enhance immunological responses. The created vaccine was stable for use in humans, highly antigenic, and non-allergenic. The vaccine's molecular and interactions binding affinity with the human immunological receptor TLR3 were studied using MMGBSA, molecular dynamics (MD) simulations, and molecular docking analyses. E. coli (strain-K12) plasmid vector pET-28a (+) was used to examine the ability of the vaccine to be expressed. The vaccine shows great promise in terms of developing protective immunity against diseases, based on the results of these computer experiments. However, in vitro and animal research are required to validate our findings.Communicated by Ramaswamy H. Sarma.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article