Miguel Rocha

Associate Professor with Habilitation



Career

  • Since  2017: Associate Professor with Habilitation, Universidade do Minho
  • 2012 - 2017: Associate Professor, Universidade do Minho
  • 2004 - 2012: Assistant Professor, Universidade do Minho

Qualifications

  • 2004: Doutoramento em Informática, Universidade do Minho

Roles and Responsibilities

  • Since  2015: Program Director, Master Program in Bioinformatics
  • 2013 - 2013: Member of the Scientific Steering Committee of the Research Unit, Computer Science and Technology Centre
  • 2010 - 2013: Director of Research Unit, Computer Science and Technology Centre
  • Since  2010: Member of the Scientific Steering Committee of Department, Department of Informatics
  • Since  2010: Member of Program Studies Steering Committee, Master Program in Bioinformatics - Biological Sciences
  • 2007 - 2010: Program Director, Master Program in Bioinformatics - Biological Sciences
  • 2005 - 2009: Associate Diretor of Research Unit, Computer Science and Technology Centre

Laboratory Management

Courses

  • Bioinformatics ( Master Program in Bioinformatics - TI )
  • Computation and Programming ( Integrated Master in Biological Engineering )
  • Bioinformatics ( Integrated Master in Biomedical Engineering )

Research Interests

    Docente integrado na subunidade: Centro de Engenharia Biológica

Past Projects

Supervision of Researchers


Recent Publications

1
Comparative assessment of protein large language models for enzyme commission number prediction
  • BMC Bioinformatics, 26(68), 2025
2
  • Oliveira, Eva Regina; Ramlov, Fernanda; Schmidt, Éder Carlos; Tomazi, Débora; Bauer, Claudia Marlene; Pilatti, Fernanda K.; Moresco, Rodolfo; Costa, Giulia Burle; Cardoso, Sara; Bouzon, Zenilda Laurita; Horta, Paulo Antunes; Rocha, Miguel; Maraschin, Marcelo
Cellular and biochemical alterations induced by diesel oil in the brown alga Sargassum cymosum var. stenophyllum cultured in vitro
  • Chemosphere, 372(144030), 2025
3
Deepmol: an automated machine and deep learning framework for computational chemistry
  • Journal of Cheminformatics, 16(136), 2024
4
A diel multi-tissue genome-scale metabolic model of Vitis vinifera
  • PLoS Computational Biology, 20(10), e1012506, 2024
5
MOSCA 2.0: A bioinformatics framework for metagenomics, metatranscriptomics and metaproteomics data analysis and visualization
  • Molecular Ecology Resources, 242(7), e13996, 2024
6
BioISO: an objective-oriented application for assisting the curation of genome-scale metabolic models
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21(2), 215-226, 2024
7
  • Barata, Tânia; Pereira, Vítor; Neves, Ricardo Pires das; Rocha, Miguel
Reconstruction of cell-specific models capturing the influence of metabolism on DNA methylation in cancer
  • Computers in Biology and Medicine, 170(108052), 2024
8
The first multi-tissue genome-scale metabolic model of a woody plant highlights suberin biosynthesis pathways in Quercus suber
  • PLoS Computational Biology, 19(9), 1-27, 2023
9
  • Bartmanski, Bartosz Jan; Rocha, Miguel; Zimmermann-Kogadeeva, Maria
Recent advances in data- and knowledge-driven approaches to explore primary microbial metabolism
  • Current Opinion in Chemical Biology, 75(102324), 2023
10
A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer
  • PLoS Computational Biology, 19(3), e1010200, 2023
11
Evaluating molecular representations in machine learning models for drug response prediction and interpretability
  • Journal of Integrative Bioinformatics, 19(3), 20220006, 2022
12
merlin, an improved framework for the reconstruction of high-quality genome-scale metabolic models
  • Nucleic Acids Research, 50(11), 6052-6066, 2022
13
A pipeline for the reconstruction and evaluation of context-specific human metabolic models at a large-scale
  • PLoS Computational Biology, 18(6), e1009294, 2022
14
ProPythia: A Python package for protein classification based on machine and deep learning
  • Neurocomputing, 484, 172-182, 2022
15
Exploring synergies between plant metabolic modelling and machine learning
  • Computational and Structural Biotechnology Journal, 20, 1885-1900, 2022
16
UPIMAPI, reCOGnizer and KEGGCharter: bioinformatics tools for functional annotation and visualization of (meta)-omics datasets
  • Computational and Structural Biotechnology Journal, 20, 1798-1810, 2022
17
Reconstruction of tissue-specific genome-scale metabolic models for human cancer stem cells
  • Computers in Biology and Medicine, 142(105177), 2022
18
A comparison of multi-objective optimization algorithms for weight setting problems in traffic engineering
  • Natural Computing, 21, 507-522, 2022
19
  • Costa e Silva, Elsa; Lino-Neto, Teresa; Ribeiro, Eugénia; Rocha, Miguel; Costa, Manuel João
Going virtual and going wide: comparing Team-Based Learning in-class versus online and across disciplines
  • Education and Information Technologies, 27, 2311-2329, 2022
20
  • Martins dos Santos, V; Anton, M; Szomolay, B; Ostaszewski, M; Arts, I; Benfeitas, R; Dominguez Del Angel, V; Ferk, P; Fey, D; Goble, C; Golebiewski, M; Gruden, K; Heil, KF; Hermjakob, H; Kahlem, P; Klapa, MI; Koehorst, J; Kolodkin, A; Kutmon, M; Leskošek, B; Moretti, S; Müller, W; Pagni, M; Rezen, T; Rocha, Miguel; Rozman, D; Šafránek, D; Sheriff, RSM; Suarez Diez, M; Van Steen, K; Westerhoff, HV; Wittig, U; Wolstencroft, K; Zupanic, A; Evelo, CT; Hancock, JM
Systems Biology in ELIXIR: modelling in the spotlight
  • F1000 Research, 11(1265), 2022
Full List