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Integrating Bioinformatics Strategies in Cancer Immunotherapy: Current And Future Perspectives

Author(s):

Houda N. Washah, Elliasu Y. Salifu, Opeyemi Soremekun, Ahmed A. Elrashedy, Geraldene Munsamy, Fisayo A. Olotu and Mahmoud E.S. Soliman*   Pages 1 - 12 ( 12 )

Abstract:


For the past few decades, the mechanisms of immune responses to cancer have been exploited extensively and significant attention has been given into exploiting the therapeutic potential of the immune system. Cancer immunotherapy has been established as a promising innovative treatment for many forms of cancer. Immunotherapy has gained its prominence through various strategies including; cancer vaccines, monoclonal antibodies (mAbs), adoptive T cell cancer therapy and immune checkpoint therapy. However, the full potential of cancer immunotherapy is yet to be attained. Recent studies have identified the use of bioinformatics tools as a viable option to help transform the treatment paradigm of several tumors by providing a therapeutically efficient method of cataloging, predicting and selecting immunotherapeutic targets which are known bottlenecks in the application of immunotherapy. Herein, we gave an insightful overview of the types of immunotherapy techniques used currently, their mechanisms of action and discussed some bioinformatics tools and databases applied in the immunotherapy of cancer. This review also provides some future perspectives in the use of bioinformatics tools for immunotherapy.

Keywords:

Cancer immunotherapy, immune system, monoclonal antibody, bioinformatics.

Affiliation:

Molecular Bio-computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, Molecular Bio-computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, Molecular Bio-computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, Molecular Bio-computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, Molecular Bio-computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, Molecular Bio-computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, Molecular Bio-computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001



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