Peptide-Based Vaccinology: Experimental and Computational Approaches to Target Hypervariable Viruses through the Fine Characterization of Protective Epitopes Recognized by Monoclonal Antibodies and the Identification of T-Cell-Activating Peptides
Hindawi Publishing Corporation
Clinical and Developmental Immunology
Volume 2013, Article ID 521231, 12 pages
http://dx.doi.org/10.1155/2013/521231
Review Article
Peptide-Based Vaccinology: Experimental and
Computational Approaches to Target Hypervariable Viruses
through the Fine Characterization of Protective Epitopes
Recognized by Monoclonal Antibodies and the Identification of
T-Cell-Activating Peptides
Matteo Castelli,1 Francesca Cappelletti,1 Roberta Antonia Diotti,1
Giuseppe Sautto,1 Elena Criscuolo,1 Matteo Dal Peraro,2 and Nicola Clementi1
1
2
Microbiology and Virology Institute, Vita-Salute San Raffaele University, 20132 Milan, Italy
Laboratory for Biomolecular Modeling, Institute of Bioingeneering, School of Life Sciences, Ecole Polytechnique Fédérale, 1015
Lausanne, Switzerland
Correspondence should be addressed to Nicola Clementi;
Received 8 May 2013; Accepted 6 June 2013
Academic Editor: Roberto Burioni
Copyright © 2013 Matteo Castelli et al. This is an open access article distributed under the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Defining immunogenic domains of viral proteins capable of eliciting a protective immune response is crucial in the development
of novel epitope-based prophylactic strategies. This is particularly important for the selective targeting of conserved regions
shared among hypervariable viruses. Studying postinfection and postimmunization sera, as well as cloning and characterization
of monoclonal antibodies (mAbs), still represents the best approach to identify protective epitopes. In particular, a protective
mAb directed against conserved regions can play a key role in immunogen design and in human therapy as well. Experimental
approaches aiming to characterize protective mAb epitopes or to identify T-cell-activating peptides are often burdened by technical
limitations and can require long time to be correctly addressed. Thus, in the last decade many epitope predictive algorithms have
been developed. These algorithms are continually evolving, and their use to address the empirical research is widely increasing.
Here, we review several strategies based on experimental techniques alone or addressed by in silico analysis that are frequently used
to predict immunogens to be included in novel epitope-based vaccine approaches. We will list the main strategies aiming to design
a new vaccine preparation conferring the protection of a neutralizing mAb combined with an effective cell-mediated response.
1. Introduction
The development of vaccines directed against clinical relevant
viral pathogens is perhaps the most important contribution
of immunology to public health. Traditional vaccine preparations are based on attenuated or inactivated whole viruses
or partially purified viral proteins. These strategies, although
effective against a large number of pathogens, present drawbacks due to viral intrinsic characteristics such as poor
or null in vitro replication and antigenic hypervariability
[1].
In order to overcome these issues, quite a number of novel
approaches have been developed, one of the most promising
focusing on epitope-based vaccine preparation.
The possibility to use minimal structures such as peptides,
or a mixture of them, as the main constituent of a vaccinal preparation, presents many advantages. Firstly, peptides
can be easily produced in vitro reducing production costs
and simplifying large-scale vaccine production procedures.
Moreover, expression of peptides belonging to viral proteins
does not necessarily require in vitro pathogens growth,
overcoming viral culturing issues.
2
Clinical and Developmental Immunology
X-ray
co crystallization
NMR
Epitope
excision
H/D exchange
Random peptide
libraries
Structure based
Direct
structural
analysis
Conformational
epitopes
Sequence based
Mass
spectrometrybased
methods
In silico
approaches
Experimental
approaches
Prediction of Ag
protective
regions
Propensity scale
Protective mAb-epitopes
characterization
Linear epitopes
Mimotopes
Gene fragment
libraries
Improved scale
Machine-learning
algorithms
Identification of protein structural
motifs to be included in epitopebased vaccines targeting
hypervariable virus
ELISPOT
Intracytoplasmatic
cytokines staining
Experimental
approaches
Lymphoprolifer.
Proteasome
cleavage
T-cell epitopes
identification
Cell based
In silico
approaches
TAP
interaction
Structure based
Cell free
MHC I/II
binders
Sequence based
Figure 1: The described approaches to characterize protein structural motifs to be included in new vaccines targeting hypervariable viruses.
The synergistic use of techniques combining experimental and in silico approaches is also shown.
This strategy also presents safety benefits, zeroing problematic related to back mutations for attenuated viruses
and reducing side effects due to possible improper immune
response against viral antigenic determinants.
Perhaps the most important aspect of using well-characterized synthetic peptides as immunogens is related to
the specific triggering of both humoral and cell-mediated
immune responses against a fundamental domain of a viral
protein. Moreover, the possibility to remove antigen (Ag)
domains activating suppressor mechanisms may elicit only
a protective response targeting conserved functional regions
shared among hypervariable viruses [2].
Despite these advantages, to date no epitope-based vaccines have been used in clinical practice. This is mainly
due to low immunogenicity and difficulties related to the
fine identification of protective epitopes and/or properly
folded antigen structural motifs to be included in a vaccinal
preparation. The latter is fundamental to properly activate an
effective immune response. Furthermore, a main goal for a
successful epitope-based vaccine approach is the identification of epitopes capable of eliciting both humoral and cellmediated responses [3, 4].
Different strategies, spanning from antigen presentation
techniques to in silico design of structural motifs to be
included in vaccinal preparations, have been developed in
order to overcome these issues. In this paper we review the
most promising approaches in peptide-based vaccine setup
applicable to hypervariable viruses. In particular we will focus
on the methods at the interface between experimental and
computational procedures aiming at the prediction of B and
T-cell-activating peptides (Figure 1).
2. Selection of B-Cell-Activating Peptides:
Immune Humoral Response as a Probe to
Identify Crucial Domains
A crucial step in epitope-based vaccine design is the identification of antigens capable of eliciting a protective immune
response specific for a pathogen of interest. Depending on
the characteristics of the virus to be targeted, humoral and
cellular response changes in relevance. As an example, the
former plays a crucial role in conferring specific immu (...truncated)