Federico De Masi
Federico De Masi
ZS Associates && DTU Healthech.
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Cited by
Cited by
High-resolution DNA-binding specificity analysis of yeast transcription factors
C Zhu, KJRP Byers, RP McCord, Z Shi, MF Berger, DE Newburger, ...
Genome research 19 (4), 556-566, 2009
Systematic discovery of new recognition peptides mediating protein interaction networks
V Neduva, R Linding, I Su-Angrand, A Stark, F Masi, TJ Gibson, J Lewis, ...
PLoS biology 3 (12), e405, 2005
Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals
L Folkersen, S Gustafsson, Q Wang, DH Hansen, ĹK Hedman, A Schork, ...
Nature metabolism 2 (10), 1135-1148, 2020
A multiparameter network reveals extensive divergence between C. elegans bHLH transcription factors
CA Grove, F De Masi, MI Barrasa, DE Newburger, MJ Alkema, ML Bulyk, ...
Cell 138 (2), 314-327, 2009
ATAF1 transcription factor directly regulates abscisic acid biosynthetic gene NCED3 in Arabidopsis thaliana
MK Jensen, S Lindemose, F De Masi, JJ Reimer, M Nielsen, V Perera, ...
FEBS open bio 3, 321-327, 2013
Ibuprofen alters human testicular physiology to produce a state of compensated hypogonadism
DM Kristensen, C Desdoits-Lethimonier, AL Mackey, MD Dalgaard, ...
Proceedings of the National Academy of Sciences 115 (4), E715-E724, 2018
High-throughput sequencing enhanced phage display enables the identification of patient-specific epitope motifs in serum
A Christiansen, JV Kringelum, CS Hansen, KL Břgh, E Sullivan, J Patel, ...
Scientific reports 5 (1), 12913, 2015
A DNA-binding-site landscape and regulatory network analysis for NAC transcription factors in Arabidopsis thaliana
S Lindemose, MK Jensen, JV de Velde, C O'Shea, KS Heyndrickx, ...
Nucleic acids research 42 (12), 7681-7693, 2014
High throughput production of mouse monoclonal antibodies using antigen microarrays
F De Masi, P Chiarella, H Wilhelm, M Massimi, B Bullard, W Ansorge, ...
Proteomics 5 (16), 4070-4081, 2005
Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants
F De Masi, CA Grove, A Vedenko, A Alibes, SS Gisselbrecht, L Serrano, ...
Nucleic acids research 39 (11), 4553-4563, 2011
miRandola 2017: a curated knowledge base of non-invasive biomarkers
F Russo, S Di Bella, F Vannini, G Berti, F Scoyni, HV Cook, A Santos, ...
Nucleic acids research 46 (D1), D354-D359, 2018
Using protein design algorithms to understand the molecular basis of disease caused by protein–DNA interactions: the Pax6 example
A Alibés, AD Nadra, F De Masi, ML Bulyk, L Serrano, F Stricher
Nucleic acids research 38 (21), 7422-7431, 2010
Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts
N Atabaki-Pasdar, M Ohlsson, A Vińuela, F Frau, H Pomares-Millan, ...
PLoS medicine 17 (6), e1003149, 2020
Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study
A Wesolowska-Andersen, CA Brorsson, R Bizzotto, A Mari, A Tura, ...
Cell Reports Medicine 3 (1), 2022
Control of lysosomal biogenesis and Notch-dependent tissue patterning by components of the TFEB-V-ATPase axis in Drosophila melanogaster
E Tognon, F Kobia, I Busi, A Fumagalli, F De Masi, T Vaccari
Autophagy 12 (3), 499-514, 2016
High-throughput immuno-profiling of mamba (Dendroaspis) venom toxin epitopes using high-density peptide microarrays
M Engmark, MR Andersen, AH Laustsen, J Patel, E Sullivan, F De Masi, ...
Scientific reports 6 (1), 36629, 2016
Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials
AY Dawed, A Mari, A Brown, TJ McDonald, L Li, S Wang, MG Hong, ...
The Lancet Diabetes & Endocrinology 11 (1), 33-41, 2023
Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: descriptive characteristics of the epidemiological studies within the IMI …
RW Koivula, IM Forgie, A Kurbasic, A Vińuela, A Heggie, GN Giordano, ...
Diabetologia 62, 1601-1615, 2019
Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
RL Allesře, AT Lundgaard, R Hernández Medina, A Aguayo-Orozco, ...
Nature Biotechnology 41 (3), 399-408, 2023
Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration
HR Wilman, CA Parisinos, N Atabaki-Pasdar, M Kelly, EL Thomas, ...
Journal of Hepatology 71 (3), 594-602, 2019
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