creators_name: Nagpal, Gandharva
creators_name: Chaudhary, Kumardeep
creators_name: Agrawal, Piyush
creators_name: Raghava, G.P.S.
type: article
datestamp: 2019-03-18 16:49:53
lastmod: 2019-03-18 16:49:53
metadata_visibility: show
title: Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants.
ispublished: pub
subjects: QR
keywords: A-cell epitopes; Adjuvants; Antigen presenting cells; Immunomodulatory peptide; Support vector machine
note: Copyright of this article belongs to Wiley.
abstract: Evidences in literature strongly advocate the potential of immunomodulatory peptides for use as vaccine adjuvants. All the mechanisms of vaccine adjuvants ensuing immunostimulatory effects directly or indirectly stimulate antigen presenting cells (APCs). While numerous methods have been developed in the past for predicting B cell and T-cell epitopes; no method is available for predicting the peptides that can modulate the APCs.
date: 2018-07-03
date_type: published
publication: Journal of translational medicine
volume: 16
number: 1
publisher: Springer Nature
pagerange: 181
refereed: TRUE
issn: 1479-5876
official_url: https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-018-1560-1
citation:   Nagpal, Gandharva and Chaudhary, Kumardeep and Agrawal, Piyush and Raghava, G.P.S.  (2018) Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants.  Journal of translational medicine, 16 (1).  p. 181.  ISSN 1479-5876