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primary topic: Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants.

Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants.
type: AcademicArticle
type: Article
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
volume: 16
issue: 1
is part of: Journal of translational medicine
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
subject: QR Microbiology

Springer Nature
type: Organization

Journal of translational medicine
type: Collection
issn: 14795876

Piyush Agrawal
type: Person
given name: Piyush
family name: Agrawal

Kumardeep Chaudhary
type: Person
given name: Kumardeep
family name: Chaudhary

Gandharva Nagpal
type: Person
given name: Gandharva
family name: Nagpal

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

HTML Summary of #2162 Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants.
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primary topic: Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants.

QR Microbiology
type: Concept