Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021 | 230 | 2021 |
Improved contact predictions using the recognition of protein like contact patterns MJ Skwark, D Raimondi, M Michel, A Elofsson PLoS computational biology 10 (11), e1003889, 2014 | 185 | 2014 |
DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins D Raimondi, I Tanyalcin, J Ferté, A Gazzo, G Orlando, T Lenaerts, ... Nucleic Acids Research, 2017 | 144 | 2017 |
COVID-19 in people with multiple sclerosis: a global data sharing initiative LM Peeters, T Parciak, C Walton, L Geys, Y Moreau, E De Brouwer, ... Multiple Sclerosis Journal 26 (10), 1157-1162, 2020 | 63 | 2020 |
Modeling the COVID-19 outbreaks and the effectiveness of the containment measures adopted across countries E De Brouwer, D Raimondi, Y Moreau MedRxiv, 2020.04. 02.20046375, 2020 | 61 | 2020 |
Understanding mutational effects in digenic diseases A Gazzo, D Raimondi, D Daneels, Y Moreau, G Smits, S Van Dooren, ... Nucleic acids research 45 (15), e140-e140, 2017 | 58 | 2017 |
Computational identification of prion-like RNA-binding proteins that form liquid phase-separated condensates G Orlando, D Raimondi, F Tabaro, F Codice, Y Moreau, WF Vranken Bioinformatics 35 (22), 4617-4623, 2019 | 50 | 2019 |
Exploring the sequence-based prediction of folding initiation sites in proteins D Raimondi, G Orlando, R Pancsa, T Khan, WF Vranken Scientific reports 7 (1), 8826, 2017 | 47 | 2017 |
Prediction of disordered regions in proteins with recurrent neural networks and protein dynamics G Orlando, D Raimondi, F Codice, F Tabaro, W Vranken Journal of Molecular Biology 434 (12), 167579, 2022 | 38 | 2022 |
Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects D Raimondi, AM Gazzo, M Rooman, T Lenaerts, WF Vranken Bioinformatics 32 (12), 1797-1804, 2016 | 36 | 2016 |
Early folding events, local interactions, and conservation of protein backbone rigidity R Pancsa, D Raimondi, E Cilia, WF Vranken Biophysical journal 110 (3), 572-583, 2016 | 31 | 2016 |
Insight into the protein solubility driving forces with neural attention D Raimondi, G Orlando, P Fariselli, Y Moreau PLoS computational biology 16 (4), e1007722, 2020 | 30 | 2020 |
Accurate prediction of protein beta-aggregation with generalized statistical potentials G Orlando, A Silva, S Macedo-Ribeiro, D Raimondi, W Vranken Bioinformatics 36 (7), 2076-2081, 2020 | 24 | 2020 |
Observation selection bias in contact prediction and its implications for structural bioinformatics G Orlando, D Raimondi, WF Vranken Scientific Reports 6 (1), 36679, 2016 | 23 | 2016 |
Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysis D Raimondi, G Orlando, WF Vranken, Y Moreau Scientific reports 9 (1), 16932, 2019 | 21 | 2019 |
Current cancer driver variant predictors learn to recognize driver genes instead of functional variants D Raimondi, A Passemiers, P Fariselli, Y Moreau BMC biology 19, 1-12, 2021 | 20 | 2021 |
PyUUL provides an interface between biological structures and deep learning algorithms G Orlando, D Raimondi, R Duran-Romaña, Y Moreau, J Schymkowitz, ... Nature communications 13 (1), 961, 2022 | 18 | 2022 |
In silico prediction of in vitro protein liquid–liquid phase separation experiments outcomes with multi-head neural attention D Raimondi, G Orlando, E Michiels, D Pakravan, A Bratek-Skicki, ... Bioinformatics 37 (20), 3473-3479, 2021 | 16 | 2021 |
A novel method for data fusion over entity-relation graphs and its application to protein–protein interaction prediction D Raimondi, J Simm, A Arany, Y Moreau Bioinformatics 37 (16), 2275-2281, 2021 | 16 | 2021 |
An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients D Raimondi, J Simm, A Arany, P Fariselli, I Cleynen, Y Moreau NAR Genomics and Bioinformatics 2 (1), lqaa011, 2020 | 15 | 2020 |