| ESpritz: accurate and fast prediction of protein disorder I Walsh, AJM Martin, T Di Domenico, SCE Tosatto Bioinformatics 28 (4), 503-509, 2012 | 606 | 2012 |
| PASTA 2.0: an improved server for protein aggregation prediction I Walsh, F Seno, SCE Tosatto, A Trovato Nucleic acids research 42 (W1), W301-W307, 2014 | 527 | 2014 |
| Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021 | 349 | 2021 |
| DOME: recommendations for supervised machine learning validation in biology I Walsh, D Fishman, D Garcia-Gasulla, T Titma, G Pollastri, J Harrow, ... Nature methods 18 (10), 1122-1127, 2021 | 234 | 2021 |
| MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins E Potenza, TD Domenico, I Walsh, SCE Tosatto Nucleic acids research 43 (D1), D315-D320, 2015 | 226 | 2015 |
| Comprehensive large-scale assessment of intrinsic protein disorder I Walsh, M Giollo, T Di Domenico, C Ferrari, O Zimmermann, SCE Tosatto Bioinformatics 31 (2), 201-208, 2015 | 172 | 2015 |
| MobiDB: a comprehensive database of intrinsic protein disorder annotations T Di Domenico, I Walsh, AJM Martin, SCE Tosatto Bioinformatics 28 (15), 2080-2081, 2012 | 169 | 2012 |
| RING: networking interacting residues, evolutionary information and energetics in protein structures AJM Martin, M Vidotto, F Boscariol, T Di Domenico, I Walsh, SCE Tosatto Bioinformatics 27 (14), 2003-2005, 2011 | 166 | 2011 |
| NeEMO: a method using residue interaction networks to improve prediction of protein stability upon mutation M Giollo, AJM Martin, I Walsh, C Ferrari, SCE Tosatto BMC genomics 15 (Suppl 4), S7, 2014 | 138 | 2014 |
| A two-stage approach for improved prediction of residue contact maps A Vullo, I Walsh, G Pollastri BMC bioinformatics 7 (1), 180, 2006 | 122 | 2006 |
| Distill: a suite of web servers for the prediction of one-, two-and three-dimensional structural features of proteins D Baú, AJM Martin, C Mooney, A Vullo, I Walsh, G Pollastri BMC bioinformatics 7 (1), 402, 2006 | 118 | 2006 |
| CSpritz: accurate prediction of protein disorder segments with annotation for homology, secondary structure and linear motifs I Walsh, AJM Martin, T Di Domenico, A Vullo, G Pollastri, SCE Tosatto Nucleic acids research 39 (suppl_2), W190-W196, 2011 | 115 | 2011 |
| Plasma N-glycans in colorectal cancer risk M Doherty, E Theodoratou, I Walsh, B Adamczyk, H Stöckmann, F Agakov, ... Scientific reports 8 (1), 8655, 2018 | 99 | 2018 |
| GlycoStore: a database of retention properties for glycan analysis S Zhao, I Walsh, JL Abrahams, L Royle, T Nguyen-Khuong, D Spencer, ... Bioinformatics 34 (18), 3231-3232, 2018 | 95 | 2018 |
| Correct machine learning on protein sequences: a peer-reviewing perspective I Walsh, G Pollastri, SCE Tosatto Briefings in bioinformatics 17 (5), 831-840, 2016 | 89 | 2016 |
| Bluues server: electrostatic properties of wild-type and mutated protein structures I Walsh, G Minervini, A Corazza, G Esposito, SCE Tosatto, F Fogolari Bioinformatics 28 (16), 2189-2190, 2012 | 89 | 2012 |
| FELLS: fast estimator of latent local structure D Piovesan, I Walsh, G Minervini, SCE Tosatto Bioinformatics 33 (12), 1889-1891, 2017 | 85 | 2017 |
| RepeatsDB: a database of tandem repeat protein structures T Di Domenico, E Potenza, I Walsh, R Gonzalo Parra, M Giollo, ... Nucleic acids research 42 (D1), D352-D357, 2014 | 80 | 2014 |
| Harnessing the potential of machine learning for advancing “quality by design” in biomanufacturing I Walsh, M Myint, T Nguyen-Khuong, YS Ho, SK Ng, M Lakshmanan MAbs 14 (1), 2013593, 2022 | 77 | 2022 |
| Ab initio and template-based prediction of multi-class distance maps by two-dimensional recursive neural networks I Walsh, D Baù, AJM Martin, C Mooney, A Vullo, G Pollastri BMC structural biology 9 (1), 5, 2009 | 69 | 2009 |
