| 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 | 69 | 2020 |
| SYNPRED: prediction of drug combination effects in cancer using different synergy metrics and ensemble learning AJ Preto, P Matos-Filipe, J Mourão, IS Moreira GigaScience 11, giac087, 2022 | 21* | 2022 |
| Prediction and targeting of GPCR oligomer interfaces CAV Barreto, SJ Baptista, AJ Preto, P Matos-Filipe, J Mourao, R Melo, ... Progress in molecular biology and translational science 169, 105-149, 2020 | 15 | 2020 |
| An overview of antiretroviral agents for treating HIV infection in paediatric population R Melo, A Lemos, AJ Preto, B Bueschbell, P Matos-Filipe, C Barreto, ... Current Medicinal Chemistry 27 (5), 760-794, 2020 | 4 | 2020 |
| A decision support system based on artificial intelligence and systems biology for the simulation of pancreatic cancer patient status V Junet, P Matos‐Filipe, JM García‐Illarramendi, E Ramírez, B Oliva, ... CPT: Pharmacometrics & Systems Pharmacology 12 (7), 916-928, 2023 | 3 | 2023 |
| Structural Characterization of Membrane Protein Dimers A J. Preto, P Matos-Filipe, PI Koukos, P Renault, SF Sousa, IS Moreira Protein Supersecondary Structures 1958, 403-436, 2019 | 3 | 2019 |
| MENSAdb: a thorough structural analysis of membrane protein dimers P Matos-Filipe, AJ Preto, PI Koukos, J Mourão, AMJJ Bonvin, IS Moreira Database 2021, baab013, 2021 | 2 | 2021 |
| Predicting Hot Spots Using a Deep Neural Network Approach AJ Preto, P Matos-Filipe, JG de Almeida, J Mourão, IS Moreira Artificial Neural Networks, 267-288, 2020 | 2 | 2020 |
| The usage of transcriptomics datasets as sources of Real-World Data for clinical trialling P Matos-Filipe, JM García-Illarramendi, G Jorba, B Oliva, J Farrés, JM Mas bioRxiv, 2022 | 1 | 2022 |
| SYNPRED: prediction of drug combination effects in cancer using different synergy metrics and ensemble learning. AJ Preto, P Matos-Filipe, J Mourão, IS Moreira Gigascience 11, giac087-giac087, 2022 | | 2022 |
| Integration of multi-source datasets for the assessment of high-grade Prostate Cancer biomarkers P Matos-Filipe, B Oliva, J Farrés, J Manuel Mas The Norwegian Prostate Cancer Symposium 1 (1), 29, 2022 | | 2022 |
| Building virtual cohorts via the integration of public data P Matos-Filipe, JM García-Illarramendi, B Oliva, J Farrés, J Manuel Mas EUSAAT Congress 2022 10 (2), 39, 2022 | | 2022 |
| A Computational Method to Predict the Combinatory Effect of Drugs in Cancer PMPS Filipe A Computational Method to Predict the Combinatory Effect of Drugs in Cancer, 2019 | | 2019 |
| Alpha-helical and beta-sheet membrane-membrane protein dimers: centralizing information P Filipe, A Preto, P Koukos, A Bonvin, I Moreira MDPI AG, 2017 | | 2017 |
António José Preto Martins GomesData Scientist, Enveda BiosciencesVerified email at envedabio.com
