John Sidney
Molecular Biology · 2005–2022
A researcher in the Science corpus: 14 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 58 citations into it; #7,360 of 17,773 by trust here, #5,914 by citations
- Immunology — 35 citations into it; #680 of 2,160 by trust here, #930 by citations
- Radiology, Nuclear Medicine and Imaging — 21 citations into it
Whom John Sidney trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bjoern Peters
- Claus Lundegaard
- Morten Nielsen
- James Robinson
- Harpreet Singh
- Julie Dawn Thompson
- Pedro A. Reche
- Alessandro Sette
- Peng Wang
Who trusts John Sidney overall
- Alba Grifoni
- Morten Nielsen
- Ward Fleri
- Peng Wang
- Alessandro Sette
- Sinu Paul
- Ole Lund
- Bjoern Peters
- Yohan Kim
- Ruth E. Soria-Guerra
Papers from John Sidney's perspective
Ordered by how strongly the researchers John Sidney trusts endorse each paper. Same corpus, a different order for every researcher.
- A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules (PLoS Comput. Biol.)
- NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence
- Prediction of MHC class I binding peptides using profile motifs. (Human Immunology)
- The Immune Epitope Database and Analysis Resource: From Vision to Blueprint (PLoS Biology)
- Immune epitope database analysis resource (IEDB-AR) (Nucleic Acids Res.)
- The immune epitope database (IEDB) 3.0 (Nucleic Acids Res.)
- NetMHCpan, a method for MHC class I binding prediction beyond humans
- BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes (Nucleic Acids Res.)
- Selection of representative protein data sets
- The Immune Epitope Database (IEDB): 2018 update (Nucleic Acids Res.)
Their papers
- A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules (2006) — 308 citations
- The Immune Epitope Database and Analysis Resource: From Vision to Blueprint (2005) — 309 citations
- Development of an epitope conservancy analysis tool to facilitate the design of epitope-based diagnostics and vaccines (2007) — 525 citations
- Peptide binding predictions for HLA DR, DP and DQ molecules (2010) — 677 citations
- A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach (2008) — 853 citations
- Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction (2017) — 600 citations
- A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2 (2020) — 923 citations
- HLA class I supertypes: a revised and updated classification (2008) — 755 citations
- Predicting population coverage of T-cell epitope-based diagnostics and vaccines (2006) — 930 citations
- SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron (2022) — 784 citations
- Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans (2020) — 1,122 citations
- T cells of Parkinson’s disease patients recognize α–synuclein peptides (2017) — 690 citations
- Comprehensive analysis of dengue virus-specific responses supports an HLA-linked protective role for CD8+ T cells (2013) — 607 citations
- NetMHCpan, a method for MHC class I binding prediction beyond humans (2008) — 807 citations