Sinu Paul
Molecular Biology · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 58 citations into it
- Immunology — 39 citations into it
- Radiology, Nuclear Medicine and Imaging — 23 citations into it
Whom Sinu Paul trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Morten Nielsen
- Claus Lundegaard
- Massimo Andreatta
- Ole Lund
- Bjoern Peters
- Peng Wang
- J. Larsen
- John Sidney
- Jens Vindahl Kringelum
- H. Bui
Who trusts Sinu Paul overall
Papers from Sinu Paul's perspective
Ordered by how strongly the researchers Sinu Paul 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
- ElliPro: a new structure-based tool for the prediction of antibody epitopes (BMC Bioinformatics)
- NetMHCpan, a method for MHC class I binding prediction beyond humans
- An integrative approach to CTL epitope prediction: A combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions (European Journal of Immunology)
- The immune epitope database (IEDB) 3.0 (Nucleic Acids Res.)
- Improved method for predicting linear B-cell epitopes (Immunome Research)
- Immune epitope database analysis resource (IEDB-AR) (Nucleic Acids Res.)
- Reliable B Cell Epitope Predictions: Impacts of Method Development and Improved Benchmarking (PLoS Comput. Biol.)
- NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11 (Nucleic Acids Res.)
Their papers
- NetMHCpan 4.0: Improved peptide-MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data (2017) — 1,083 citations
- NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data (2020) — 1,960 citations
- IEDB-AR: immune epitope database—analysis resource in 2019 (2019) — 357 citations
- The Immune Epitope Database and Analysis Resource in Epitope Discovery and Synthetic Vaccine Design (2017) — 462 citations