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Domenico Cozzetto
Domenico Cozzetto
Research Fellow, Imperial College London
Bestätigte E-Mail-Adresse bei imperial.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A large-scale evaluation of computational protein function prediction
P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ...
Nature methods 10 (3), 221-227, 2013
10342013
PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments
DT Jones, DWA Buchan, D Cozzetto, M Pontil
Bioinformatics 28 (2), 184-190, 2012
8902012
DISOPRED3: precise disordered region predictions with annotated protein-binding activity
DT Jones, D Cozzetto
Bioinformatics 31 (6), 857-863, 2015
8402015
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
Genome biology 17, 1-19, 2016
4092016
The PMDB protein model database
T Castrignano, PDO De Meo, D Cozzetto, IG Talamo, A Tramontano
Nucleic acids research 34 (suppl_1), D306-D309, 2006
3542006
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20, 1-23, 2019
3492019
Critical assessment of protein intrinsic disorder prediction
M Necci, D Piovesan, MT Hoque, I Walsh, S Iqbal, M Vendruscolo, ...
Nature Methods, 2021
2052021
Evaluation of template‐based models in CASP8 with standard measures
D Cozzetto, A Kryshtafovych, K Fidelis, J Moult, B Rost, A Tramontano
Proteins: Structure, Function, and Bioinformatics 77 (S9), 18-28, 2009
1622009
Assessment of predictions in the model quality assessment category
D Cozzetto, A Kryshtafovych, M Ceriani, A Tramontano
Proteins: Structure, Function, and Bioinformatics 69 (S8), 175-183, 2007
1442007
Evaluation of predictions in the CASP10 model refinement category
T Nugent, D Cozzetto, DT Jones
Proteins: Structure, Function, and Bioinformatics 82, 98-111, 2014
1272014
FFPred 3: feature-based function prediction for all Gene Ontology domains
D Cozzetto, F Minneci, H Currant, DT Jones
Scientific reports 6 (1), 31865, 2016
1102016
Interleukin-22 orchestrates a pathological endoplasmic reticulum stress response transcriptional programme in colonic epithelial cells
N Powell, E Pantazi, P Pavlidis, A Tsakmaki, K Li, F Yang, A Parker, C Pin, ...
Gut 69 (3), 578-590, 2020
932020
Predicting human protein function with multi-task deep neural networks
R Fa, D Cozzetto, C Wan, DT Jones
PloS one 13 (6), e0198216, 2018
892018
Evaluation of CASP8 model quality predictions
D Cozzetto, A Kryshtafovych, A Tramontano
Proteins: Structure, Function, and Bioinformatics 77 (S9), 157-166, 2009
872009
Evaluation of CASP8 model quality predictions
D Cozzetto, A Kryshtafovych, A Tramontano
Proteins: Structure, Function, and Bioinformatics 77 (S9), 157-166, 2009
872009
Computer-assisted protein domain boundary prediction using the Dom-Pred server
K Bryson, D Cozzetto, DT Jones
Current Protein and Peptide Science 8 (2), 181-188, 2007
752007
FFPred 2.0: improved homology-independent prediction of gene ontology terms for eukaryotic protein sequences
F Minneci, D Piovesan, D Cozzetto, DT Jones
PLoS One 8 (5), e63754, 2013
662013
Relationship between multiple sequence alignments and quality of protein comparative models
D Cozzetto, A Tramontano
Proteins: Structure, Function, and Bioinformatics 58 (1), 151-157, 2005
632005
The contribution of intrinsic disorder prediction to the elucidation of protein function
D Cozzetto, DT Jones
Current opinion in structural biology 23 (3), 467-472, 2013
532013
Interleukin-22 regulates neutrophil recruitment in ulcerative colitis and is associated with resistance to ustekinumab therapy
P Pavlidis, A Tsakmaki, E Pantazi, K Li, D Cozzetto, J Digby-Bell, F Yang, ...
Nature communications 13 (1), 5820, 2022
492022
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