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Structural immunoinformatics approach for rational design of a multi-epitope vaccine against triple negative breast cancer

三阴性乳腺癌 乳腺癌 表位 生物信息学 癌症 医学 计算生物学 癌症研究 免疫学 生物 抗体 内科学 生物化学 基因
作者
T Dhanushkumar,Balu Kamaraj,Karthick Vasudevan,Mohanraj Gopikrishnan,K.R. Dasegowda,Majji Rambabu,George Priya Doss. C
出处
期刊:International Journal of Biological Macromolecules [Elsevier BV]
卷期号:243: 125209-125209 被引量:19
标识
DOI:10.1016/j.ijbiomac.2023.125209
摘要

TNBC is a highly malignant breast cancer known for its aggressive behavior affecting young female adults. The standard treatment for TNBC includes surgery, chemotherapy, and radiotherapy, which often have significant side effects. Therefore, novel preventive methods are required to combat TNBC effectively. In this study, we utilized immunoinformatics to construct an in-silico vaccine against TNBC using the TRIM25 molecule via the reverse vaccinology method. Four vaccines were designed by generating T and B-cell epitopes linked with four different linkers. The modeled vaccine was docked and the results showed that vaccine-3 exhibited the highest affinity with the immune receptors. The molecular dynamics results revealed that the binding affinity and stability of Vaccine-3 were greater than those of Vaccine 2 complexes. This study has great potential preventive measures for TNBC, and further research is warranted to evaluate its efficacy in preclinical settings. This study presents an innovative preventive strategy for triple-negative breast cancer (TNBC) through immunoinformatics and reverse vaccinology to develop an in-silico vaccine. Leveraging these innovative techniques offers a novel avenue for combating the complex challenges associated with TNBC. This approach demonstrates considerable potential as a significant breakthrough in preventive measures for this particularly aggressive and malignant form of breast cancer.
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