david gfeller
Geciteerd door
Geciteerd door
SwissTargetPrediction: a web server for target prediction of bioactive small molecules
D Gfeller, A Grosdidier, M Wirth, A Daina, O Michielin, V Zoete
Nucleic acids research 42 (W1), W32-W38, 2014
Intratumoral Tcf1+ PD-1+ CD8+ T cells with stem-like properties promote tumor control in response to vaccination and checkpoint blockade immunotherapy
I Siddiqui, K Schaeuble, V Chennupati, SAF Marraco, S Calderon-Copete, ...
Immunity 50 (1), 195-211. e10, 2019
Bayesian modeling of the yeast SH3 domain interactome predicts spatiotemporal dynamics of endocytosis proteins
R Tonikian, X Xin, CP Toret, D Gfeller, C Landgraf, S Panni, S Paoluzi, ...
PLoS Biol 7 (10), e1000218, 2009
Complex network analysis of free-energy landscapes
D Gfeller, P De Los Rios, A Caflisch, F Rao
Proceedings of the National Academy of Sciences 104 (6), 1817-1822, 2007
Functional complexes between YAP2 and ZO-2 are PDZ domain-dependent, and regulate YAP2 nuclear localization and signalling
T Oka, E Remue, K Meerschaert, B Vanloo, C Boucherie, D Gfeller, ...
Biochemical Journal 432 (3), 461-478, 2010
Shaping the interaction landscape of bioactive molecules
D Gfeller, O Michielin, V Zoete
Bioinformatics 29 (23), 3073-3079, 2013
Finding instabilities in the community structure of complex networks
D Gfeller, JC Chappelier, P De Los Rios
Physical Review E 72 (5), 056135, 2005
Personalized cancer vaccine effectively mobilizes antitumor T cell immunity in ovarian cancer
JL Tanyi, S Bobisse, E Ophir, S Tuyaerts, A Roberti, R Genolet, ...
Science Translational Medicine 10 (436), 2018
Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data
J Racle, K de Jonge, P Baumgaertner, DE Speiser, D Gfeller
Elife 6, e26476, 2017
Spectral coarse graining of complex networks
D Gfeller, P De Los Rios
Physical review letters 99 (3), 038701, 2007
Coevolution of PDZ domain–ligand interactions analyzed by high-throughput phage display and deep sequencing
A Ernst, D Gfeller, Z Kan, S Seshagiri, PM Kim, GD Bader, SS Sidhu
Molecular BioSystems 6 (10), 1782-1790, 2010
How to visually interpret biological data using networks
D Merico, D Gfeller, GD Bader
Nature biotechnology 27 (10), 921-924, 2009
Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity
M Bassani-Sternberg, C Chong, P Guillaume, M Solleder, HS Pak, ...
PLoS computational biology 13 (8), e1005725, 2017
The multiple‐specificity landscape of modular peptide recognition domains
D Gfeller, F Butty, M Wierzbicka, E Verschueren, P Vanhee, H Huang, ...
Molecular systems biology 7 (1), 484, 2011
Spectral coarse graining and synchronization in oscillator networks
D Gfeller, P De Los Rios
Physical review letters 100 (17), 174104, 2008
SwissSidechain: a molecular and structural database of non-natural sidechains
D Gfeller, O Michielin, V Zoete
Nucleic acids research 41 (D1), D327-D332, 2012
ILC2-modulated T cell–to-MDSC balance is associated with bladder cancer recurrence
MF Chevalier, S Trabanelli, J Racle, B Salomé, V Cesson, D Gharbi, ...
The Journal of clinical investigation 127 (8), 2916-2929, 2017
Unsupervised HLA peptidome deconvolution improves ligand prediction accuracy and predicts cooperative effects in peptide–HLA interactions
M Bassani-Sternberg, D Gfeller
The Journal of Immunology 197 (6), 2492-2499, 2016
Tumour-derived PGD2 and NKp30-B7H6 engagement drives an immunosuppressive ILC2-MDSC axis
S Trabanelli, MF Chevalier, A Martinez-Usatorre, A Gomez-Cadena, ...
Nature communications 8 (1), 1-14, 2017
Sensitive and frequent identification of high avidity neo-epitope specific CD8+ T cells in immunotherapy-naive ovarian cancer
S Bobisse, R Genolet, A Roberti, JL Tanyi, J Racle, BJ Stevenson, C Iseli, ...
Nature communications 9 (1), 1-10, 2018
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