Detalhe da pesquisa
1.
Dissecting the treatment-naive ecosystem of human melanoma brain metastasis.
Cell
; 185(14): 2591-2608.e30, 2022 07 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35803246
2.
Orthogonal cytokine engineering enables novel synthetic effector states escaping canonical exhaustion in tumor-rejecting CD8+ T cells.
Nat Immunol
; 24(5): 869-883, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37081150
3.
Activation of the transcription factor NFAT5 in the tumor microenvironment enforces CD8+ T cell exhaustion.
Nat Immunol
; 24(10): 1645-1653, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37709986
4.
SPICA: Swiss portal for immune cell analysis.
Nucleic Acids Res
; 50(D1): D1109-D1114, 2022 01 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34747477
5.
scGate: marker-based purification of cell types from heterogeneous single-cell RNA-seq datasets.
Bioinformatics
; 38(9): 2642-2644, 2022 04 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-35258562
6.
STACAS: Sub-Type Anchor Correction for Alignment in Seurat to integrate single-cell RNA-seq data.
Bioinformatics
; 37(6): 882-884, 2021 05 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-32845323
7.
NNAlign_MA; MHC Peptidome Deconvolution for Accurate MHC Binding Motif Characterization and Improved T-cell Epitope Predictions.
Mol Cell Proteomics
; 18(12): 2459-2477, 2019 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-31578220
8.
IEDB-AR: immune epitope database-analysis resource in 2019.
Nucleic Acids Res
; 47(W1): W502-W506, 2019 07 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-31114900
9.
MS-Rescue: A Computational Pipeline to Increase the Quality and Yield of Immunopeptidomics Experiments.
Proteomics
; 19(4): e1800357, 2019 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-30578603
10.
An automated benchmarking platform for MHC class II binding prediction methods.
Bioinformatics
; 34(9): 1522-1528, 2018 05 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29281002
11.
NetMHCpan-4.0: Improved Peptide-MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data.
J Immunol
; 199(9): 3360-3368, 2017 11 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-28978689
12.
NNAlign: a platform to construct and evaluate artificial neural network models of receptor-ligand interactions.
Nucleic Acids Res
; 45(W1): W344-W349, 2017 07 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-28407117
13.
GibbsCluster: unsupervised clustering and alignment of peptide sequences.
Nucleic Acids Res
; 45(W1): W458-W463, 2017 07 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-28407089
14.
Computational Tools for the Identification and Interpretation of Sequence Motifs in Immunopeptidomes.
Proteomics
; 18(12): e1700252, 2018 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-29327813
15.
Unconventional Peptide Presentation by Major Histocompatibility Complex (MHC) Class I Allele HLA-A*02:01: BREAKING CONFINEMENT.
J Biol Chem
; 292(13): 5262-5270, 2017 03 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-28179428
16.
Improved methods for predicting peptide binding affinity to MHC class II molecules.
Immunology
; 154(3): 394-406, 2018 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-29315598
17.
Machine learning reveals a non-canonical mode of peptide binding to MHC class II molecules.
Immunology
; 152(2): 255-264, 2017 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-28542831
18.
Gapped sequence alignment using artificial neural networks: application to the MHC class I system.
Bioinformatics
; 32(4): 511-7, 2016 Feb 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-26515819
19.
Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification.
Immunogenetics
; 67(11-12): 641-50, 2015 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-26416257
20.
Simultaneous alignment and clustering of peptide data using a Gibbs sampling approach.
Bioinformatics
; 29(1): 8-14, 2013 Jan 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-23097419