Computer-aided designing of oncolytic viruses for overcoming translational challenges of cancer immunotherapy.

Lathwal, Anjali and Kumar, Rajesh and Raghava, G.P.S. (2020) Computer-aided designing of oncolytic viruses for overcoming translational challenges of cancer immunotherapy. Drug discovery today. ISSN 1878-5832 (In Press)

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Abstract

Wild-type and genetically engineered oncolytic viruses (OVs) represent powerful therapeutic agents in cancer immunotherapy. Several OV species are in clinical trials for cancer treatment. Preclinical and clinical trials revealed several issues related to OV therapy in terms of viral delivery, spread, antiviral immune response, and tumor resistance. Here, we suggest some promising computational strategies that can overcome these issues. The strategies include predicting and prioritizing tumor-homing peptides, anticancer peptides, neoantigens, and miRNA response elements in the viral genome. The combination of computational approaches with genetic engineering could enhance the safety, delivery, oncolysis, and antitumor immune responses of OVs.

Item Type: Article
Additional Information: Copyright of this article belongs to Elsevier Science.
Subjects: Q Science > QR Microbiology
Depositing User: Dr. K.P.S.Sengar
Date Deposited: 01 May 2020 14:24
Last Modified: 01 May 2020 14:24
URI: http://crdd.osdd.net/open/id/eprint/2564

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