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- W4221008403 abstract "Immunotherapy is a rapidly growing therapy for cancer which have numerous benefits over conventional treatments like surgery, chemotherapy, and radiation. Overall survival of cancer patients has improved significantly due to the use of immunotherapy. It acts as a novel pillar for treating different malignancies from their primary to the metastatic stage. Recent preferments in high-throughput sequencing and computational immunology leads to the development of targeted immunotherapy for precision oncology. In the last few decades, several computational methods and resources have been developed for designing immunotherapy against cancer. In this review, we have summarized cancer-associated genomic, transcriptomic, and mutation profile repositories. We have also enlisted in silico methods for the prediction of vaccine candidates, HLA binders, cytokines inducing peptides, and potential neoepitopes. Of note, we have incorporated the most important bioinformatics pipelines and resources for the designing of cancer immunotherapy. Moreover, to facilitate the scientific community, we have developed a web portal entitled ImmCancer (https://webs.iiitd.edu.in/raghava/immcancer/), comprises cancer immunotherapy tools and repositories." @default.
- W4221008403 created "2022-04-03" @default.
- W4221008403 creator A5022895624 @default.
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- W4221008403 creator A5048158238 @default.
- W4221008403 creator A5051938893 @default.
- W4221008403 creator A5054096262 @default.
- W4221008403 creator A5081233004 @default.
- W4221008403 date "2022-01-01" @default.
- W4221008403 modified "2023-10-15" @default.
- W4221008403 title "In silico tools and databases for designing cancer immunotherapy" @default.
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