Alessandro Sette

Infectious Diseases · 2000–2022

A researcher in the Science corpus: 35 papers; trusts 27 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Infectious Diseases — 218 citations into it; #372 of 589 by trust here, #100 by citations
• Molecular Biology — 148 citations into it; #2,242 of 17,773 by trust here, #1,958 by citations
• Immunology — 118 citations into it; #342 of 2,160 by trust here, #489 by citations
• Radiology, Nuclear Medicine and Imaging — 49 citations into it; #3,068 of 3,265 by trust here, #934 by citations
• Genetics — 25 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Microbiology — 6 citations into it; #39 of 213 by trust here, #72 by citations

Whom Alessandro Sette trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. Cyster
2. Morten Nielsen
3. Bjoern Peters
4. Christopher D. C. Allen
5. Claus Lundegaard
6. John Sidney
7. Ugur Sahin
8. Alba Grifoni
9. Daniel Fannar Gudbjartsson
10. Peng Wang

Who trusts Alessandro Sette overall

1. Morten Nielsen
2. Peng Wang
3. Ward Fleri
4. Joachim L. Schultze
5. Massimo Andreatta
6. Shutao Mei
7. Sinu Paul
8. Sandeep Kumar Dhanda
9. John Sidney
10. Yohan Kim

Papers from Alessandro Sette's perspective

Ordered by how strongly the researchers Alessandro Sette trusts endorse each paper. Same corpus, a different order for every researcher.

1. Cryo-EM Structure of the 2019-nCoV Spike in the Prefusion Conformation
2. The Immune Epitope Database (IEDB): 2018 update (Nucleic Acids Res.)
3. Preexisting influenza-specific CD4+ T cells correlate with disease protection against influenza challenge in humans (Nature Medicine)
4. A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules (PLoS Comput. Biol.)
5. NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence
6. Clinical and immunologic features in severe and moderate Coronavirus Disease 2019. (Journal of Clinical Investigation)
7. The Immune Epitope Database and Analysis Resource: From Vision to Blueprint (PLoS Biology)
8. Cellular immune correlates of protection against symptomatic pandemic influenza (Nature Medicine)
9. Prediction of MHC class I binding peptides using profile motifs. (Human Immunology)
10. SARS‐CoV‐2 Seroconversion in Humans: A Detailed Protocol for a Serological Assay, Antigen Production, and Test Setup (Current Protocols in Microbiology)

Their papers

• A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules (2006) — 308 citations
• The Immune Epitope Database (IEDB): 2018 update (2018) — 1,975 citations
• The immune epitope database (IEDB) 3.0 (2014) — 1,073 citations
• The Immune Epitope Database and Analysis Resource: From Vision to Blueprint (2005) — 309 citations
• NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence (2007) — 693 citations
• Improved methods for predicting peptide binding affinity to MHC class II molecules (2018) — 725 citations
• Development of an epitope conservancy analysis tool to facilitate the design of epitope-based diagnostics and vaccines (2007) — 525 citations
• Generating quantitative models describing the sequence specificity of biological processes with the stabilized matrix method (2005) — 562 citations
• The Immune Epitope Database 2.0 (2009) — 672 citations
• Immune epitope database analysis resource (IEDB-AR) (2008) — 391 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
• Immune epitope database analysis resource (2012) — 514 citations
• Properties of MHC Class I Presented Peptides That Enhance Immunogenicity (2013) — 836 citations
• Identifying specificity groups in the T cell receptor repertoire (2017) — 901 citations
• Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals (2020) — 3,322 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
• IEDB-AR: immune epitope database—analysis resource in 2019 (2019) — 357 citations