0% Complete
the 4th international edition and 13th Iranian Conference on Bioinformatics
international edition and Iranian Conference on Bioinformatics
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Identification of Antigenic Proteins of Acinetobacter baumannii as Potential Novel Vaccine Candidates Through a Reverse Vaccinology Approach
نویسندگان :
Amirhossein Ghadiri
1
Abbas Doosti
2
Mostafa Shakhsi-Niaei
3
1- Department of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
2- Biotechnology Research Center, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
3- Department of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord, Iran
کلمات کلیدی :
Vaccine،Acinetobacter baumannii،Protein antigen،In silico
چکیده :
Infections caused by Acinetobacter baumannii (A. baumannii) are increasing in prevalence globally. Therefore, vaccination appears necessary as a cost-effective preventative measure against this bacterium. In the present study, we employed subtractive proteomics and reverse vaccinology approaches to identify potential therapeutics against A. baumannii. Utilizing the Vaxign online tool, we analyzed over 35 genomes of A. baumannii strains and selected outer membrane and secreted proteins as potential vaccine candidates. Investigations were conducted on the immunogenicity, antigenic characteristics, physicochemical properties, and epitope densities of B-cell and MHC class I and II molecules in the proteins. Following the optimization of the protein codons, the pcDNA3.1(+) expression construct was designed, and the immunogenicity, allergenicity, and physicochemical properties of the vaccine construct were predicted. The ompW protein is predicted to be extracellular and located in the outer membrane. Immunoassays of ompW indicated an antigenicity of 0.67. This protein has five structural cell epitope points and five linear B epitope points. Additionally, it can bind to various HLA alleles of MHC class I and class II, making it a selected immunogenic protein suitable for designing non-allergenic structures. The results of this in silico study demonstrate high specificity and the development of a robust humoral and cellular immune response. Therefore, it can be concluded that the ompW vaccine construct is a promising candidate against A. baumannii that requires further testing in vitro and in vivo to prove its efficacy.
لیست مقالات
لیست مقالات بایگانی شده
Inhibition of angiogenesis based on the dynamic model of tumor growth using adaptive control method
Mehdi Ghasemi - Adel Akbarimajd - Solmaz Kia
Common genes and pathways involved in prediabetes and diabetes using bioinformatics analysis
Ali reza Morovat - Kiarash Zare - Matin Sepehrinia - Mohammad mehdi Naghizadeh
Machine Learning-Driven Discovery of JAK2 Inhibitors from ChEMBL Databank
Negar Abdolmaleki - Hamid Mahdiuni
Multi-Target Drug Discovery for Rheumatoid Arthritis: A Comprehensive Computational Approach Using Bioactive Compounds
Pegah Mansouri - Pardis Mansouri - Sohrab Najafipour - Seyed Amin Kouhpayeh - Akbar Farjadfar - Esmaeil Behmard
Investigation of the interaction between 2-aminothiazole and bovine serum albumin (BSA), using the methods of molecular docking calculations and density functional theory (DFT)
Forough Pakzadi - Yaghub Pazhang - Ebrahim Nemati-Kande
A Clustering-Based Method for Preserving Manifold Structure in EEG Signals Classification
Shermin Shahbazi - Majid Ramezani
Aureolysin Inhibition: Identification of Sigmoidin B as a Potential Therapeutic Candidate against Staphylococcus aureus
Amir Mohammad Akbarian Khujin - Melika Sadat Samadi - Ghazal Shirdel - Elnaz Afshari
Novel Potential Peripheral ECM Biomarkers for Prognosis and Therapeutic Approaches in Liver Cirrhosis Based on Microarray Analysis
Sorour Akrami - Masoud Vosough
Bioinformatics investigation of the structure and function of photoprotein mnemiopsin2 following Glutamine 23 substitutions using a site-directed mutagenesis
Zahra Karimi Takaromi - Vahab Jafarian - Amir Dehghani - Khosrow Khalifeh - Fateme Khatami
Predicting drug response using omics data and artificial intelligence approach in cancer
Abdolhamid Nazerpanahi - Mohammad Ali Hossein Beigy - Amirhossein Keyhanipour - Kaveh Kavousi - Siavash Kavousi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0