| DispHred: A server to predict pH-dependent order–disorder transitions in intrinsically disordered proteins J Santos, V Iglesias, C Pintado, J Santos-Suárez, S Ventura International journal of molecular sciences 21 (16), 5814, 2020 | 19 | 2020 |
| DisProt in 2024: improving function annotation of intrinsically disordered proteins MC Aspromonte, MV Nugnes, F Quaglia, A Bouharoua, SCE Tosatto, ... Nucleic Acids Research 52 (D1), D434-D441, 2024 | 15 | 2024 |
| SolupHred: a server to predict the pH-dependent aggregation of intrinsically disordered proteins C Pintado, J Santos, V Iglesias, S Ventura Bioinformatics 37 (11), 1602-1603, 2021 | 14 | 2021 |
| SGnn: a web server for the prediction of prion-like domains recruitment to stress granules upon heat stress V Iglesias, J Santos, J Santos-Suárez, C Pintado-Grima, S Ventura Frontiers in Molecular Biosciences 8, 718301, 2021 | 13 | 2021 |
| The dynamic landscape of peptide activity prediction O Bárcenas, C Pintado-Grima, K Sidorczuk, F Teufel, H Nielsen, ... Computational and Structural Biotechnology Journal 20, 6526-6533, 2022 | 11 | 2022 |
| In-silico analysis of pH-dependent liquid-liquid phase separation in intrinsically disordered proteins C Pintado-Grima, O Bárcenas, S Ventura Biomolecules 12 (7), 974, 2022 | 10 | 2022 |
| CARs-DB: A database of cryptic amyloidogenic regions in intrinsically disordered proteins C Pintado-Grima, O Bárcenas, Z Manglano-Artuñedo, R Vilaça, ... Frontiers in Molecular Biosciences 9, 882160, 2022 | 6 | 2022 |
| DispHScan: a multi-sequence web tool for predicting protein disorder as a function of pH C Pintado-Grima, V Iglesias, J Santos, VN Uversky, S Ventura Biomolecules 11 (11), 1596, 2021 | 6 | 2021 |
| A3D Model Organism Database (A3D-MODB): a database for proteome aggregation predictions in model organisms AE Badaczewska-Dawid, A Kuriata, C Pintado-Grima, J Garcia-Pardo, ... Nucleic Acids Research 52 (D1), D360-D367, 2024 | 5 | 2024 |
| A3DyDB: exploring structural aggregation propensities in the yeast proteome J Garcia-Pardo, AE Badaczewska-Dawid, C Pintado-Grima, V Iglesias, ... Microbial cell factories 22 (1), 186, 2023 | 5 | 2023 |
| A review of fifteen years developing computational tools to study protein aggregation C Pintado-Grima, O Bárcenas, A Bartolomé-Nafría, M Fornt-Suñé, ... Biophysica 3 (1), 1-20, 2023 | 5 | 2023 |
| Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation O Bárcenas, A Kuriata, M Zalewski, V Iglesias, C Pintado-Grima, G Firlik, ... Nucleic Acids Research, gkae382, 2024 | 3 | 2024 |
| Prediction of the effect of pH on the aggregation and conditional folding of intrinsically disordered proteins with SolupHred and DispHred V Iglesias, C Pintado-Grima, J Santos, M Fornt, S Ventura Data Mining Techniques for the Life Sciences, 197-211, 2022 | 3 | 2022 |
| Exploring cryptic amyloidogenic regions in prion-like proteins from plants C Pintado-Grima, J Santos, V Iglesias, Z Manglano-Artuñedo, I Pallarès, ... Frontiers in plant science 13, 1060410, 2023 | 2 | 2023 |
| Effect of the aggregated protein dye YAT2150 on Leishmania parasite viability L Román-Álamo, Y Avalos-Padilla, I Bouzón-Arnáiz, V Iglesias, ... Antimicrobial Agents and Chemotherapy 68 (3), e01127-23, 2024 | 1 | 2024 |
| Expanding the Landscape of Amyloid Sequences with CARs-DB: A Database of Polar Amyloidogenic Peptides from Disordered Proteins C Pintado-Grima, O Bárcenas, S Ventura Computational Drug Discovery and Design, 171-185, 2023 | 1 | 2023 |
| aSynPEP-DB: a database of biogenic peptides for inhibiting α-synuclein aggregation C Pintado-Grima, O Bárcenas, V Iglesias, J Santos, Z Manglano-Artuñedo, ... Database 2023, baad084, 2023 | 1 | 2023 |
| Confident protein datasets for liquid-liquid phase separation studies C Pintado-Grima, O Bárcenas, V Iglesias, E Arribas-Ruiz, M Burdukiewicz, ... | | 2024 |
| Structural information in therapeutic peptides: Emerging applications in biomedicine V Iglesias, O Bárcenas, C Pintado‐Grima, M Burdukiewicz, S Ventura FEBS Open Bio, 0 | | |
