| In-silico drug repurposing study predicts the combination of pirfenidone and melatonin as a promising candidate therapy to reduce SARS-CoV-2 infection progression and … L Artigas, M Coma, P Matos-Filipe, J Aguirre-Plans, J Farrés, R Valls, ... PLoS One 15 (10), e0240149, 2020 | 68 | 2020 |
| In-silico simulated prototype-patients using TPMS technology to study a potential adverse effect of sacubitril and valsartan G Jorba, J Aguirre-Plans, V Junet, C Segú-Vergés, JL Ruiz, A Pujol, ... PLoS One 15 (2), e0228926, 2020 | 40 | 2020 |
| Proximal pathway enrichment analysis for targeting comorbid diseases via network endopharmacology J Aguirre-Plans, J Piñero, J Menche, F Sanz, LI Furlong, HHHW Schmidt, ... Pharmaceuticals 11 (3), 61, 2018 | 38 | 2018 |
| GUILDify v2. 0: A tool to identify molecular networks underlying human diseases, their comorbidities and their druggable targets J Aguirre-Plans, J Piñero, F Sanz, LI Furlong, N Fernandez-Fuentes, ... Journal of molecular biology 431 (13), 2477-2484, 2019 | 36 | 2019 |
| Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment A Kryshtafovych, J Moult, WM Billings, D Della Corte, K Fidelis, S Kwon, ... Proteins: Structure, Function, and Bioinformatics 89 (12), 1987-1996, 2021 | 19 | 2021 |
| An ensemble learning approach for modeling the systems biology of drug-induced injury J Aguirre-Plans, J Piñero, T Souza, G Callegaro, SJ Kunnen, F Sanz, ... Biology Direct 16, 1-14, 2021 | 14 | 2021 |
| Δ9-tetrahydrocannabinol modulates the proteasome system in the brain V Salgado-Mendialdúa, J Aguirre-Plans, E Guney, R Reig-Viader, ... Biochemical Pharmacology 157, 159-168, 2018 | 14 | 2018 |
| Network, transcriptomic and genomic features differentiate genes relevant for drug response J Pinero, A Gonzalez-Perez, E Guney, J Aguirre-Plans, F Sanz, B Oliva, ... Frontiers in Genetics 9, 412, 2018 | 14 | 2018 |
| Using collections of structural models to predict changes of binding affinity caused by mutations in protein–protein interactions A Meseguer, L Dominguez, PM Bota, J Aguirre‐Plans, J Bonet, ... Protein Science 29 (10), 2112-2130, 2020 | 13 | 2020 |
| On the mechanisms of protein interactions: predicting their affinity from unbound tertiary structures MA Marín-López, J Planas-Iglesias, J Aguirre-Plans, J Bonet, ... Bioinformatics 34 (4), 592-598, 2018 | 12 | 2018 |
| Galaxy InteractoMIX: an integrated computational platform for the study of protein–protein interaction data P Mirela-Bota, J Aguirre-Plans, A Meseguer, C Galletti, J Segura, ... Journal of molecular biology 433 (11), 166656, 2021 | 11 | 2021 |
| SPServer: split-statistical potentials for the analysis of protein structures and protein–protein interactions J Aguirre-Plans, A Meseguer, R Molina-Fernandez, MA Marín-López, ... BMC bioinformatics 22, 1-13, 2021 | 10 | 2021 |
| Prediction of adverse drug reaction linked to protein targets using network-based information and machine learning C Galletti, J Aguirre-Plans, B Oliva, N Fernandez-Fuentes Frontiers in Bioinformatics 2, 906644, 2022 | 6 | 2022 |
| On the mechanisms of protein interactions: predicting their affinity from unbound tertiary structures MA Marın-Lopez, J Planas-Iglesias, J Aguirre-Plans, J Bonet, ... Bioinformatics 34 (4), 592-598, 2018 | 1 | 2018 |
| Automated structure-based learning to model co-operativity and protein-DNA interactions in cis-regulatory modules O Fornes, A Meseguer, J Aguirre-Plans, P Gohl, P Mireia-Bota, ... bioRxiv, 2022.04. 17.488557, 2022 | | 2022 |
| Structure-based learning to model complex protein-DNA interactions and transcription-factor co-operativity incis-regulatory elements O Fornes, A Meseguer, J Aguirre-Plans, P Gohl, P Bota, ... | | 2022 |
| In silico tools to study diseases and polypharmacology through the lens of network medicine J Aguirre Plans | | 2021 |
| In-silico simulated prototype-patients using TPMS technology to study a potential adverse effect of sacubitril and valsartan G Jorba Argemí, J Aguirre Plans, V Junet, C Segú-Vergés, JL Ruiz, ... PLoS One. 2020; 15 (2): e0228926, 2020 | | 2020 |
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