Zhen Yan
Molecular Biology · with Andreatta · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 28 citations into it
- Immunology — 16 citations into it
Whom Zhen Yan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zhen Yan's perspective
Ordered by how strongly the researchers Zhen Yan trusts endorse each paper. Same corpus, a different order for every researcher.
- Prediction of MHC class I binding peptides using profile motifs. (Human Immunology)
- ElliPro: a new structure-based tool for the prediction of antibody epitopes (BMC Bioinformatics)
- NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence
- Reliable prediction of T‐cell epitopes using neural networks with novel sequence representations
- The immune epitope database (IEDB) 3.0 (Nucleic Acids Res.)
- BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes (Nucleic Acids Res.)
- Improved method for predicting linear B-cell epitopes (Immunome Research)
- Application of phylogenetic networks in evolutionary studies. (Molecular biology and evolution)
- Immune epitope database analysis resource (Nucleic Acids Res.)
- Reliable B Cell Epitope Predictions: Impacts of Method Development and Improved Benchmarking (PLoS Comput. Biol.)
Their papers
- Improved methods for predicting peptide binding affinity to MHC class II molecules (2018) — 725 citations
- IEDB-AR: immune epitope database—analysis resource in 2019 (2019) — 357 citations