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
Innovative Multi-Epitope Vaccine for Breast Cancer Management: Utilizing MAGE-A, MAM-A, and Gal-3 through an In Silico Reverse Vaccinology Approach
نویسندگان :
Faranak Aali
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 :
Breast cancer،Immunotherapy،Reverse vaccinology،Multiepitope vaccine
چکیده :
Breast cancer (BC) is one of the most common cancers among women, and its prevalence is alarmingly on the rise. There is an urgent need to develop effective therapies due to the high prevalence and increasing incidence of this disease. Currently, traditional passive treatments have significant limitations that remain unresolved. In contrast, innovative immunotherapy strategies, such as cancer vaccines, have shown promising potential in addressing advanced stages of breast cancer. The primary objective of this research was to formulate a multiepitope vaccine for breast cancer using the MAGE-A, MAM-A, and Gal-3 antigenic proteins. To elicit robust immune responses, first antigenic epitopes of these proteins identified and evaluated their immunogenicity. To minimize functional immunogenicity, we conjugated promiscuous epitopes with an appropriate adjuvant (IL-12 protein) and linked them using a suitable linker (GSST). Then, enhanced and validated an optimal three-dimensional model to obtain a superior structure was done. Molecular docking studies and dynamic modeling were employed to assess the structural stability and integrity of the vaccine in complex with mouse TLR-2, TLR-4, and TLR-7. The vaccine was then optimized and cloned into the pcDNA3.1(+) vector. Additionally, immunological simulations of the vaccine demonstrated its ability to elicit immune responses, including B cells, T cells, antibodies, and cytokines, against breast cancer. Overall, the immunoinformatic analysis of the developed vaccine indicates its potential to generate strong humoral and cellular immune responses in the targeted organism. Therefore, it shows promise as a therapeutic agent against breast cancer and further investigation in this field.
لیست مقالات
لیست مقالات بایگانی شده
Comprehensive Gene and Protein Catalog for Antimicrobial Environments: A Metagenomic Approach to Mitigate Antimicrobial Resistance
Donya Afshar Jahanshahi - Arad Ariaeenejad - Arman Hasannejad - Mohammad Reza Zabihi - Shohreh Ariaeenejad - Kaveh Kavousi
A novel approach to find Biomarkers affecting Autism Spectrum Disorder (ASD) Using Machine Learning
Amir Zarghami - Milad Besharatifard - Fatemeh Zare-Mirakabad
In Silico Analysis of the R410W Mutation in ZP1: Effects on Protein Stability and Interactions
Seyedeh Zahra Mousavi - Pegah Kouhi - Zeinab Rokhsattalab - Mehdi Totonchi
Designing Guide RNAs Considering Essential Genes for Genome Editing of Yarrowia lipolytica Using Deep Learning in the CRISPR System
Zahra Vahdani - Farshad Darvishi - Fatemeh Zare-Mirakabad
Investigating hsa-miR-146b and Its Targets TRAF6 and IRAK1 In Gastric Cancer Using Bioinformatic Tools
Ali Nosrat - Vahid Asghariazar - Elham Safarzadeh
Iron, Oxidative Stress, and Skin Aging: The Therapeutic Potential of TGF-β1 Modulation
Maryam Kaboli - Amir Amiri-Yekta - Seyed Abolhassan Shahzadeh Fazeli - Yasser Tahamtani
Morphine pathway analysis with bioinformatics
Nazila Bagheri - Alireza Tarinejad - Mohammad Majidi - Karim Hassanpour
A New LDA-based Genetic Algorithm for Feature Selection and Classification in Gene Expression Data Analysis
Parisa Pouyamanesh - Mahdi Vasighi
Fully Convolutional Neural Networks for Volumetric Segmentation of Ultrasound Images: An Effective Tool for Automated Estimation of Fetal Head Circumference
Seyed Vahab Shojaedini - Mohammad Momenian
Comprehensive Analysis of DCLK Family Kinases in Gastrointestinal Cancers and Neoplastic Progression
Zahra Salehi - Leili Rejali - Moein Piroozkhah - Pooya Jalali - Ali Aghajani - Mahsa Saeedi Niyasar - Binazir Khanabadi - Amir Sadeghi - Ehsan Nazemalhossein Mojarad
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0