| Propedia: a database for protein–peptide identification based on a hybrid clustering algorithm PM Martins, LH Santos, D Mariano, FC Queiroz, LL Bastos, IS Gomes, ... BMC bioinformatics 22, 1-20, 2021 | 44 | 2021 |
| Protein structural bioinformatics: An overview V de Almeida Paiva, I de Souza Gomes, CR Monteiro, MV Mendonça, ... Computers in Biology and Medicine 147, 105695, 2022 | 42 | 2022 |
| Introducing programming skills for life science students D Mariano, P Martins, L Helene Santos, RC de Melo‐Minardi Biochemistry and Molecular Biology Education 47 (3), 288-295, 2019 | 28 | 2019 |
| Proteingo: motivation, user experience, and learning of molecular interactions in biological complexes MFM Silva, PM Martins, DCB Mariano, LH Santos, I Pastorini, N Pantuza, ... Entertainment Computing 29, 31-42, 2019 | 18 | 2019 |
| Propedia v2. 3: A novel representation approach for the peptide-protein interaction database using graph-based structural signatures P Martins, D Mariano, FC Carvalho, LL Bastos, L Moraes, V Paixão, ... Frontiers in Bioinformatics 3, 1103103, 2023 | 14 | 2023 |
| Vermont: a multi-perspective visual interactive platform for mutational analysis AV Fassio, PM Martins, SS Guimarães, SSA Junior, VS Ribeiro, ... BMC bioinformatics 18, 51-63, 2017 | 8 | 2017 |
| How to compute protein residue contacts more accurately? PM Martins, VD Mayrink, S de A. Silveira, CH da Silveira, LHF de Lima, ... Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 60-67, 2018 | 5 | 2018 |
| BIOINFO–Revista Brasileira de Bioinformática e Biologia Computacional D Mariano, FZ Dezordi, P Martins, J Xavier, T de Jesus Sousa, L Lima, ... Alfahelix Publicações, 2021 | 4 | 2021 |
| Thermodynamics-informed graph neural networks for real-time simulation of digital human twins L Tesán, D González, P Martins, E Cueto arXiv preprint arXiv:2412.12034, 2024 | | 2024 |
| Capri: uma base de dados para análise comparativa de paradigmas paraprospecção de contatos em interfaces proteína-proteína PM Martins Universidade Federal de Minas Gerais, 2015 | | 2015 |
| LEARNING EQUILIBRIUM STATE TRANSITIONS WITH GRAPH NEURAL NETWORKS: APLICATION TO THIN SHELLS BUCKLING P Martins, B Moya, F Chinesta, E Cueto | | |
