Design and utilization of epitope-based databases and predictive tools |
| |
Authors: | Nima Salimi Ward Fleri Bjoern Peters Alessandro Sette |
| |
Institution: | (1) Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA |
| |
Abstract: | In the last decade, significant progress has been made in expanding the scope and depth of publicly available immunological
databases and online analysis resources, which have become an integral part of the repertoire of tools available to the scientific
community for basic and applied research. Herein, we present a general overview of different resources and databases currently
available. Because of our association with the Immune Epitope Database and Analysis Resource, this resource is reviewed in
more detail. Our review includes aspects such as the development of formal ontologies and the type and breadth of analytical
tools available to predict epitopes and analyze immune epitope data. A common feature of immunological databases is the requirement
to host large amounts of data extracted from disparate sources. Accordingly, we discuss and review processes to curate the
immunological literature, as well as examples of how the curated data can be used to generate a meta-analysis of the epitope
knowledge currently available for diseases of worldwide concern, such as influenza and malaria. Finally, we review the impact
of immunological databases, by analyzing their usage and citations, and by categorizing the type of citations. Taken together,
the results highlight the growing impact and utility of immunological databases for the scientific community. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|