title: Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants.
creator: Nagpal, Gandharva
creator: Chaudhary, Kumardeep
creator: Agrawal, Piyush
creator: Raghava, G.P.S.
subject: QR Microbiology
description: 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.
publisher: Springer Nature
date: 2018-07-03
type: Article
type: PeerReviewed
relation: https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-018-1560-1
identifier:   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     
relation: http://crdd.osdd.net/open/2162/