The Immune Epitope Database (IEDB): 2018 update
By R. Vita, Swapnil Mahajan, James A. Overton, Sandeep Kumar Dhanda, Sheridan Martini, Jason R. Cantrell, D. Wheeler, Alessandro Sette, Bjoern Peters. Nucleic Acids Res., 2018
1,975 citations recorded by the source corpus.
Abstract The Immune Epitope Database (IEDB, iedb.org) captures experimental data confined in figures, text and tables of the scientific literature, making it freely available and easily searchable to the public. The scope of the IEDB extends across immune epitope data related to all species studied and includes antibody, T cell, and MHC binding contexts associated with infectious, allergic, autoimmune, and transplant related diseases. Having been publicly accessible for >10 years, the recent focus of the IEDB has been improved query and reporting functionality to meet the needs of our users to access and summarize data that continues to grow in quantity and complexity. Here we present an update on our current efforts and future goals.
Subfields: Hepatology, Molecular Biology, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/288b317e427c6bf4c94d455049bd1368ff2071eb
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In Molecular Biology
- Bjoern Peters
- Morten Nielsen
- Alessandro Sette
- Massimo Andreatta
- Sinu Paul
- Marinka Zitnik
- John Sidney
- Paolo Marcatili
In Radiology, Nuclear Medicine and Imaging
- Bjoern Peters
- Alessandro Sette
- Sinu Paul
- Massimo Andreatta
- Morten Nielsen
- John Sidney
- Paolo Marcatili
- Swapnil Mahajan
Citations in the corpus
- Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development (2021, methodology): “It is from Jespersen et al. (2017), curates a dataset from IEDB (Vita et al. 2019), containing 3159 antigens.”
- A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2 (2020, positive): “We also sought to address potential SARS-CoV-2 epitopes by a completely different method, namely utilizing the epitope predictions hosted by the IEDB (Dhanda et al., 2019; Vita et al., 2019).”
- IEDB-AR: immune epitope database—analysis resource in 2019 (2019, background): “Nucleic acids research, 47(1), W502-W506.”
- Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals (2020, positive): “We recently predicted SARS-CoV-2 T cell epitopes utilizing the Immune Epitope Database and Analysis Resource (IEDB) (Dhanda et al., 2019; Vita et al., 2019).”
- Preliminary Identification of Potential Vaccine Targets for the COVID-19 Coronavirus (SARS-CoV-2) Based on SARS-CoV Immunological Studies (2020, methodology): “Population-coverage-based T cell epitope selection Population coverages for sets of T cell epitopes were computed using the tool provided by the Immune Epitope Database (IEDB) (http://tools.iedb.org/population/; accessed 9 February 2020) (Vita et al., 2019).”
- SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron (2022, positive): “To determine the impact of the selected variants on T cell epitopes, CD4 and CD8 T cell epitopes were extracted from the IEDB database (www.IEDB.org)(Vita et al., 2019) on July 8th 2021 using the following query: Organism: SARS-CoV2 (ID:2697049, SARS2), Include positive assays only, No B cells, No…”