Domenico Cozzetto

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David JonesProfessor of Bioinformatics, University College LondonVerified email at ucl.ac.uk
Anna TramontanoSapienza University - Department of PhysicsVerified email at uniroma1.it
Andriy KryshtafovychUniversity of California, DavisVerified email at ucdavis.edu
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
Kevin BrysonSenior Lecturer in Bioinformatics & Machine Learning, University of GlasgowVerified email at glasgow.ac.uk
Domenico RaimondoDip. Medicina Molecolare - Sapienza Università di RomaVerified email at uniroma1.it
Alejandro GiorgettiAssociate professor, Biochemistry, University of VeronaVerified email at univr.it
Burkhard RostProfessor of Computer Science & Computational Biology & Bioinformatics, TUM, MunichVerified email at tum.de
Miguel CerianiAssistant Professor, University of BariVerified email at uniba.it
Tim NugentSenior Research Scientist, RefinitivVerified email at refinitiv.com
Christine OrengoProfessor of Bioinformatics, University College LondonVerified email at biochem.ucl.ac.uk
Prof. Julian GoughMRC Laboratory of Molecular Biology, CambridgeVerified email at mrc-lmb.cam.ac.uk
Tom L BlundellEmeritus Professor of Biochemistry, University of CambridgeVerified email at cam.ac.uk
Alfonso ValenciaICREA Professor. Barcelona Supercomputing Center.Verified email at bsc.es
Iddo FriedbergAssociate Professor of Bioinformatics, Iowa State UniversityVerified email at iastate.edu
Predrag RadivojacProfessor of Computer Science, Northeastern UniversityVerified email at northeastern.edu

Domenico Cozzetto

Senior Bioinformatician, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust

Verified email at kcl.ac.uk

computational biology bioinformatics NGS data analysis protein function prediction protein structure prediction


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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	866	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	773	2012
DISOPRED3: precise disordered region predictions with annotated protein-binding activity DT Jones, D Cozzetto Bioinformatics 31 (6), 857-863, 2015	623	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), 1-19, 2016	326	2016
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	321	2006
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), 1-23, 2019	192	2019
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	164	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	135	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	104	2014
Protein function prediction by massive integration of evolutionary analyses and multiple data sources D Cozzetto, DWA Buchan, K Bryson, DT Jones BMC bioinformatics 14 (3), 1-11, 2013	89	2013
Evaluation of CASP8 model quality predictions D Cozzetto, A Kryshtafovych, A Tramontano Proteins: Structure, Function, and Bioinformatics 77 (S9), 157-166, 2009	86	2009
Evaluation of CASP8 model quality predictions D Cozzetto, A Kryshtafovych, A Tramontano Proteins: Structure, Function, and Bioinformatics 77 (S9), 157-166, 2009	86	2009
FFPred 3: feature-based function prediction for all Gene Ontology domains D Cozzetto, F Minneci, H Currant, DT Jones Scientific reports 6 (1), 1-11, 2016	72	2016
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	65	2007
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	62	2005
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	61	2013
Predicting human protein function with multi-task deep neural networks R Fa, D Cozzetto, C Wan, DT Jones PloS one 13 (6), e0198216, 2018	57	2018
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	51	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	42	2020
Genome3D: exploiting structure to help users understand their sequences TE Lewis, I Sillitoe, A Andreeva, TL Blundell, DWA Buchan, C Chothia, ... Nucleic Acids Research 43 (D1), D382-D386, 2015	38	2015

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