NDLI: B-cell epitope prediction for peptide-based vaccine design: towards a paradigm of biological outcomes

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B-cell epitope prediction for peptide-based vaccine design: towards a paradigm of biological outcomes

Content Provider	ACM Digital Library
Author	Caoili, Salvador Eugenio C.
Abstract	Two major obstacles to the development of B-cell epitope prediction for peptide-based vaccine design are (1) the prevailing binary classification paradigm, which mandates the problematic dichotomization of continuous outcome variables, and (2) failure to explicitly model biological consequences of immunization that are relevant to practical considerations of safety and efficacy. The first obstacle is eliminated by redefining the predictive task as quantitative estimation of empirically observable biological effects of antibody-antigen binding, such that prediction is benchmarked using measures of correlation between continuous rather than dichotomous variables; but this alternative approach by itself fails to address the second obstacle even if benchmark data are selected to exclusively reflect functionally relevant cross-reactivity of antipeptide antibodies with protein antigens (as evidenced by antibody-modulated protein biological activity), particularly where only antibody-antigen binding is actually predicted as a surrogate for its biological effects. To overcome the second obstacle, the prerequisite is deliberate effort to predict, a priori, biological outcomes that are of immediate practical significance from the perspective of vaccination. This demands a much broader and deeper systems view of immunobiology than has hitherto been invoked for B-cell epitope prediction. Such a view would facilitate comprehension of many crucial yet largely neglected aspects of the vaccine-design problem. Of these, immunodominance among B-cell epitopes is a central unifying theme that subsumes immune phenomena of tolerance, imprinting and refocusing; but it is meaningful for vaccine design only in the light of disease-specific pathophysiology, which for infectious processes is complicated by host-pathogen coevolution.
Starting Page	602
Ending Page	610
Page Count	9
File Format	PDF
ISBN	9781450304382
DOI	10.1145/1854776.1854889
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-08-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	B-cell epitope prediction Binary classification paradigm Host-pathogen coevolution Peptide-based vaccine design Functionally relevant cross-reactivity Immunodominance
Content Type	Text
Resource Type	Article

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