| 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 | 171 | 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 | 71 | 2017 |
| Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021 | 64 | 2021 |
| 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 | 50 | 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 | 37 | 2017 |
| Modeling the COVID-19 outbreaks and the effectiveness of the containment measures adopted across countries E De Brouwer, D Raimondi, Y Moreau medRxiv, 2020 | 36 | 2020 |
| 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), 1-11, 2017 | 31 | 2017 |
| 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 | 29 | 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 | 26 | 2016 |
| Computational identification of prion-like RNA-binding proteins that form liquid phase-separated condensates G Orlando, D Raimondi, F Tabaro, F Codicè, Y Moreau, WF Vranken Bioinformatics 35 (22), 4617-4623, 2019 | 17 | 2019 |
| Observation selection bias in contact prediction and its implications for structural bioinformatics G Orlando, D Raimondi, WF Vranken Scientific Reports 6 (1), 1-8, 2016 | 17 | 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 | 16 | 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 | 13 | 2020 |
| 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), 1-11, 2019 | 12 | 2019 |
| Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirements D Raimondi, G Orlando, WF Vranken Bioinformatics 31 (8), 1219-1225, 2015 | 12 | 2015 |
| SVM-dependent pairwise HMM: an application to protein pairwise alignments G Orlando, D Raimondi, T Khan, T Lenaerts, WF Vranken Bioinformatics 33 (24), 3902-3908, 2017 | 11 | 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 | 9 | 2022 |
| Large-scale in-silico statistical mutagenesis analysis sheds light on the deleteriousness landscape of the human proteome D Raimondi, G Orlando, F Tabaro, T Lenaerts, M Rooman, Y Moreau, ... Scientific reports 8 (1), 1-11, 2018 | 9 | 2018 |
| Ultra-fast global homology detection with discrete cosine transform and dynamic time warping D Raimondi, G Orlando, Y Moreau, WF Vranken Bioinformatics 34 (18), 3118-3125, 2018 | 9 | 2018 |
| An evolutionary view on disulfide bond connectivities prediction using phylogenetic trees and a simple cysteine mutation model D Raimondi, G Orlando, WF Vranken PloS one 10 (7), e0131792, 2015 | 9 | 2015 |
Gabriele OrlandoPost Doc, Switch Lab, KULeuvenEmail confirmado em kuleuven.be
