creators_name: Lathwal, Anjali 
creators_name: Kumar, Rajesh 
creators_name: Raghava, G.P.S.
type: article
datestamp: 2020-05-01 14:24:30
lastmod: 2020-05-01 14:24:30
metadata_visibility: show
title: Computer-aided designing of oncolytic viruses for overcoming translational challenges of cancer immunotherapy.
ispublished: inpress
subjects: QR
note: Copyright of this article belongs to Elsevier Science.
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
date_type: published
publication: Drug discovery today
publisher: Elsevier Science
refereed: TRUE
issn: 1878-5832
official_url: https://www.sciencedirect.com/science/article/pii/S1359644620301562?via%3Dihub
citation:   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)