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primary topic: Novelin silicotools for designing peptide-based subunit vaccines and immunotherapeutics

Novelin silicotools for designing peptide-based subunit vaccines and immunotherapeutics
type: AcademicArticle
type: Article
abstract: The conventional approach for designing vaccine against a particular disease involves stimulation of the immune system using the whole pathogen responsible for the disease. In the post-genomic era, a major challenge is to identify antigenic regions or epitopes that can stimulate different arms of the immune system. In the past two decades, numerous methods and databases have been developed for designing vaccine or immunotherapy against various pathogen-causing diseases. This review describes various computational resources important for designing subunit vaccines or epitope-based immunotherapy. First, different immunological databases are described that maintain epitopes, antigens and vaccine targets. This is followed by in silico tools used for predicting linear and conformational B-cell epitopes required for activating humoral immunity. Finally, information on T-cell epitope prediction methods is provided that includes indirect methods like prediction of Major Histocompatibility Complex and transporter-associated protein binders. Different studies for validating the predicted epitopes are also examined critically. This review enlists novel in silico resources and tools available for predicting humoral and cell-mediated immune potential. These predicted epitopes could be used for designing epitope-based vaccines or immunotherapy as they may activate the adaptive immunity. Authors emphasized the need to develop tools for the prediction of adjuvants to activate innate and adaptive immune system simultaneously. In addition, attention has also been given to novel prediction methods to predict general therapeutic properties of peptides like half-life, cytotoxicity and immune toxicity.
date: 2016
is part of: Briefings in Bioinformatics
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
subject: QR Microbiology

Briefings in Bioinformatics
type: Collection
issn: 14675463

Ankur Gautam
type: Person
given name: Ankur
family name: Gautam

Sandeep Kumar Dhanda
type: Person
given name: Sandeep Kumar
family name: Dhanda

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

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

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

Salman Sadullah Usmani
type: Person
given name: Salman Sadullah
family name: Usmani

HTML Summary of #2032 Novelin silicotools for designing peptide-based subunit vaccines and immunotherapeutics
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primary topic: Novelin silicotools for designing peptide-based subunit vaccines and immunotherapeutics

QR Microbiology
type: Concept