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 | 1070 | 2013 |
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 | 904 | 2012 |
DISOPRED3: precise disordered region predictions with annotated protein-binding activity DT Jones, D Cozzetto Bioinformatics 31 (6), 857-863, 2015 | 870 | 2015 |
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 | 418 | 2016 |
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 | 371 | 2019 |
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 | 354 | 2006 |
Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, MT Hoque, I Walsh, S Iqbal, M Vendruscolo, ... Nature Methods, 2021 | 224 | 2021 |
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 | 162 | 2009 |
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 | 143 | 2007 |
Evaluation of predictions in the CASP10 model refinement category T Nugent, D Cozzetto, DT Jones Proteins: Structure, Function, and Bioinformatics 82, 98-111, 2014 | 127 | 2014 |
Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets JH Zhao, D Stacey, N Eriksson, E Macdonald-Dunlop, ÅK Hedman, ... Nature immunology 24 (9), 1540-1551, 2023 | 122 | 2023 |
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 | 116 | 2016 |
Protein function prediction by massive integration of evolutionary analyses and multiple data sources D Cozzetto, DWA Buchan, K Bryson, DT Jones BMC bioinformatics 14, 1-11, 2013 | 105 | 2013 |
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 | 100 | 2020 |
Predicting human protein function with multi-task deep neural networks R Fa, D Cozzetto, C Wan, DT Jones PloS one 13 (6), e0198216, 2018 | 94 | 2018 |
Evaluation of CASP8 model quality predictions D Cozzetto, A Kryshtafovych, A Tramontano Proteins: Structure, Function, and Bioinformatics 77 (S9), 157-166, 2009 | 86 | 2009 |
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 | 78 | 2007 |
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 | 66 | 2013 |
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 | 63 | 2005 |
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 | 59 | 2022 |