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

Computer-aided designing of oncolytic viruses for overcoming translational challenges of cancer immunotherapy.
type: AcademicArticle
type: Article
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.
date: 2020-04-25
is part of: Drug discovery today
status: peerReviewed
status: forthcoming
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
subject: QR Microbiology

Elsevier Science
type: Organization

Drug discovery today
type: Collection
issn: 18785832

Rajesh Kumar
type: Person
given name: Rajesh
family name: Kumar

G.P.S. Raghava
type: Person
given name: G.P.S.
family name: Raghava

Anjali Lathwal
type: Person
given name: Anjali
family name: Lathwal

HTML Summary of #2564 Computer-aided designing of oncolytic viruses for overcoming translational challenges of cancer immunotherapy.
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primary topic: Computer-aided designing of oncolytic viruses for overcoming translational challenges of cancer immunotherapy.

QR Microbiology
type: Concept