Marta Gomez-Perosanz
Molecular Biology · 2017
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 28 citations into it
- Immunology — 15 citations into it
- Radiology, Nuclear Medicine and Imaging — 14 citations into it
Whom Marta Gomez-Perosanz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Morten Nielsen
- M. Regenmortel
- Sudipto Saha
- Ole Lund
- Pernille Haste Andersen
- Yasser El-Manzalawy
- Gajendra P. Raghava
- Martin Closter Jespersen
- Bo Yao
- Søren Buus
Papers from Marta Gomez-Perosanz's perspective
Ordered by how strongly the researchers Marta Gomez-Perosanz trusts endorse each paper. Same corpus, a different order for every researcher.
- CEP: a conformational epitope prediction server (Nucleic Acids Res.)
- Reliable prediction of T‐cell epitopes using neural networks with novel sequence representations
- Predicting linear B-cell epitopes using string kernels (Journal of Molecular Recognition)
- The immune epitope database (IEDB) 3.0 (Nucleic Acids Res.)
- 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)
- Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach. (Tissue Antigens)
- BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes (Nucleic Acids Res.)
- NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction (BMC Bioinformatics)
- Prediction of continuous B‐cell epitopes in an antigen using recurrent neural network (Proteins: Structure, Function, and Bioinformatics)
Their papers
- Fundamentals and Methods for T- and B-Cell Epitope Prediction (2017) — 577 citations