???global.info.a_carregar???
Joel P. Arrais is Associate Professor at University of Coimbra and researcher at the Laboratory of Artificial Neural Networks (LARN), integrated within CISUC (Centre for Informatics and Systems of the University of Coimbra), a research unit rated “Excellent” by the Portuguese Foundation for Science and Technology (FCT). His research lies at the intersection between computation and the life sciences, with a scientific agenda structured around three main pillars: AI-driven molecular discovery and design, multi-omics integration and computational genomics, and the development of foundation and generative models for biomedical data. Has advanced innovative methodologies through major projects such as D4 (Deep Drug Discovery and Deployment), IA4Farma, and CHAFT. Joel P. Arrais has authored more than 50 peer-reviewed publications in internationally recognized venues, including Nature Communications, Journal of Cheminformatics, and Briefings in Bioinformatics, reflecting both the quality and impact of his scientific contributions. He has also supervised 10 doctoral projects, demonstrating a strong commitment to advanced research training and scientific leadership. To ensure that computational advances translate into experimental validation and real-world impact, he maintains strategic collaborations with leading partners, including CNC-UC, ITQB NOVA, and the Centre for Artificial Intelligence Driven Drug Discovery at Macao Polytechnic University. His profile is further strengthened by his active leadership in national and international initiatives, including funded projects supported by FCT and the European Union. He also serves as President of the General Assembly of Biodata.pt, the Portuguese node of the ELIXIR research infrastructure.
Ler resumo completo ↓
Identificação

Identificação pessoal

Nome completo
Joel Arrais

Nomes de citação

  • Arrais, Joel
  • Joel P. Arrais

Identificadores de autor

Ciência ID
B919-5159-C962
ORCID iD
0000-0003-4937-2334
Google Scholar ID
0pEkBdwAAAAJ

Endereços de correio eletrónico

  • jpa@dei.uc.pt (Profissional)

Moradas

  • FCTUC - Universidade de Coimbra. Pólo II - Pinhal de Marrocos, 3030-290, Coimbra, Coimbra, Portugal (Profissional)

Websites

  • joelarrais.github.io (Profissional)

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação - Bioinformática
  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Computação
Formação
Grau Classificação
2005 - 2010
Concluído
 Engenharia Informática (Doutoramento)
Especialização em Sem especialidade
Universidade de Aveiro, Portugal
"Sistemas de Informação para Dna Microarrays" (TESE/DISSERTAÇÃO)
1999/09 - 2004/07
Concluído
 Licenciatura em Engenharia de Computadores e Telemática (Licenciatura)
Universidade de Aveiro Departamento de Electrónica Telecomunicações e Informática, Portugal
 16
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2010 - 2012 Investigador (Investigação) Universidade de Aveiro Instituto de Engenharia Eletrónica e Informática de Aveiro, Portugal
Universidade de Aveiro, Portugal
2006 - 2010 Investigador (Investigação) Fundação para a Ciência e a Tecnologia, Portugal
Universidade de Aveiro, Portugal
2004/11 - 2005/12 Investigador (Investigação) Universidade de Aveiro Instituto de Engenharia Eletrónica e Informática de Aveiro, Portugal
Universidade de Aveiro, Portugal

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2024/01 - Atual Professor Associado (Docente Universitário) Universidade de Coimbra, Portugal
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2018/09 - 2023/12 Professor Auxiliar (Docente Universitário) Universidade de Coimbra Departamento de Engenharia Informática, Portugal
2012/09 - 2018/08 Professor Auxiliar Convidado (Docente Universitário) Universidade de Coimbra Departamento de Engenharia Informática, Portugal
2010 - 2012 Professor Adjunto Convidado (Docente Ensino Superior Politécnico) Universidade de Aveiro Escola Superior de Tecnologia e Gestão de Águeda, Portugal
Universidade de Aveiro, Portugal
Projetos

Bolsa

Designação Financiadores
2025/01/01 - 2029/06/30 Volatile biomarkers for schizophrenia management
101156162
Investigador
Universidade de Coimbra, Portugal
 Horizon Europe
Em curso
2021/01 - 2025/12 Laboratório Associado de Sistemas Inteligentes
168241UID
LA/P/0104/2020
10.54499/LA/P/0104/2020
Universidade de Aveiro Instituto de Engenharia Eletrónica e Informática de Aveiro, Portugal

Universidade do Porto Faculdade de Ciências, Portugal

Universidade de Aveiro Centro de Tecnologia Mecânica e Automação, Portugal

Universidade do Minho Centro ALGORITMI, Portugal

Instituto Politécnico do Porto Centro de Investigação em Sistemas Computacionais Embebidos e de Tempo-Real, Portugal

Universidade de Coimbra, Portugal

Universidade de Coimbra Departamento de Engenharia Civil, Portugal

Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal

Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal

Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal

Universidade de Aveiro, Portugal

Universidade do Minho Instituto de Polímeros e Compósitos, Portugal

Universidade Nova de Lisboa, Portugal

Universidade Nova de Lisboa Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial, Portugal

Universidade Nova de Lisboa Centro de Tecnologias e Sistemas, Portugal

Universidade do Minho, Portugal

Universidade do Porto Centro de Matemática, Portugal

Instituto Politécnico do Cávado e do Ave, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2018 - 2022 Real-time Condition-based Maintenance for Adaptive Aircraft Maintenance Planning
769288-2
 European Commission
2018/05 - 2021/05 D4-FCT: Deep Drug Discovery and Deployment
FCT-SAICT-2017-029266
Investigador responsável
Fundação para a Ciência e a Tecnologia
2018/04 - 2021/03 NanoSen-AQM - Development and field validation of a low-cost nano-sensor system for real-time monitoring of ambient air quality
SOE2/P1/E0569 (EU-INTERREG-SUDOE)
 European Commission
2016/05 - 2019/05 SASSI - Sistema de Apoio à Decisão de Segurança em Sistemas Informáticos
017775
 Agência Nacional de Inovação SA
2016/01 - 2018/12 Linking excellence in biomedical knowledge and computational intelligence research for personalized management of CVD within PHC
692023
 European Commission
2010/05 - 2013/10 Query term expansion methodologies for improved biomedical literature retrieval
grant.Provided by PTCRIS: 100541
 Fundação para a Ciência e a Tecnologia

Projeto

Designação Financiadores
2023 - Atual EUREKA AIDA - Red iberoamericana de inteligencia artificial y analítica de datos
523RT0147
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Em curso
Produções

Publicações

Artigo em conferência
  1. Torres, Luis; Ribeiro, Bernardete; Arrais, Joel. "Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction". Trabalho apresentado em ESANN, Bruges, 2023.
    10.14428/esann/2023.es2023-66
  2. Nelson R. C. Monteiro; Abbasi, Maryam; Ana Catarina Machado; Joel P. Arrais. Autor correspondente: Nelson R. C. Monteiro. "Multi-Optimized Drug Design using Transformers". Trabalho apresentado em 28th Portuguese Conference on Pattern Recognition (RECPAD2022), leiria, 2022.
  3. Santos, R.; Arrais, J.P.; Silva, P.A.. "Analysing games for health through users' opinion mining". 2021.
    10.1109/CBMS52027.2021.00035
  4. Santos, B.P.; Abbasi, M.; Pereira, T.; Ribeiro, B.; Arrais, J.P.. "Optimizing recurrent neural network architectures for de novo drug design". 2021.
    10.1109/CBMS52027.2021.00067
  5. Santos, B.P.; Abbasi, M.; Pereira, T.; Ribeiro, B.; Arrais, J.P.. "Improvement on Generative Adversarial Network for Targeted Drug Design". 2021.
    10.14428/esann/2021.ES2021-96
  6. Fernandes, M.; Silva, C.; Arrais, J.P.; Cardoso, A.; Ribeiro, B.. "Decay Momentum for Improving Federated Learning". 2021.
    10.14428/esann/2021.ES2021-106
  7. Abbasi, M.; Pereira, T.; Santos, B.P.; Ribeiro, B.; Arrais, J.P.. "Multiobjective Reinforcement Learning in Optimized Drug Design". 2021.
    10.14428/esann/2021.ES2021-87
  8. Silva, L.; Pereira, C.; Arrais, J.P.. "Using a Novel Unbiased Dataset and Deep Learning Architectures to Predict Protein-Protein Interactions". 2020.
    10.1109/BIBM49941.2020.9313393
  9. Cruz, A.; Arrais, J.P.; MacHado, P.. "Exploring Time-Series through Force-Directed Timelines". 2020.
    10.1109/IV51561.2020.00061
  10. Silva, J.; Lucas, P.; Araujo, F.; Silva, C.; Gil, P.; Cardoso, A.; Arrais, J.; et al. "A hybrid application for real-time air quality monitoring". 2019.
    10.1109/EXPAT.2019.8876498
  11. Silva, J.; Lucas, P.; Araujo, F.; Silva, C.; Gil, P.; Cardoso, A.; Arrais, J.; et al. "An online platform for real-time air quality monitoring". 2019.
    10.1109/EXPAT.2019.8876486
  12. Henriques Abreu, Pedro; Pedro Jorge Martins; Penousal Machado; Joel P. Arrais; Anabela Gomes. "The Relationship Between Learning Styles and Creativity Students: An Information Visualization Class Case Study". Trabalho apresentado em EdMedia: World Conference on Educational Media and Technology, 2018.
  13. Coelho, E.D.; Arrais, J.P.; Oliveira, J.L.. "Ensemble-based methodology for the prediction of drug-target interactions". 2016.
    10.1109/CBMS.2016.67
  14. Correia, F.B.; Arrais, J.P.; Oliveira, J.L.. "Prediction of cancer using network topological features". 2016.
  15. Coelho, E.D.; Arrais, J.P.; Oliveira, J.L.. "Uncovering microbial duality within human microbiomes: A novel algorithm for the analysis of host-pathogen interactions". 2015.
    10.1109/EMBC.2015.7319086
  16. Barbosa, F.C.; Arrais, J.P.; Oliveira, J.L.. "Weighted gene co-expression network analysis applied to head and neck squamous cell carcinoma data". 2014.
    10.1007/978-3-319-03005-0_76
  17. Rodrigues, R.P.; Arrais, J.P.; Coelho, E.D.; Oliveira, J.L.. "A cytoscape-based web tool for representing protein networks". 2014.
    10.1007/978-3-319-03005-0_79
  18. Arrais, Joel. "Computational Approach to Predict Inter-Species Oral Protein-Protein Interactions.". 2013.
  19. Arrais, Joel. "Representation of Semantic Networks of Biomedical Terms.". 2013.
  20. Melo, J.; Arrais, J.P.; Lopes, P.; Rosa, N.; Correia, M.J.; Barros, M.; Oliveira, J.L.. "Web information system for the study of oral health". 2012.
  21. Arrais, J.P.; Oliveira, J.L.. "Gene-disease prioritization through biomedical networks". 2010.
    10.1109/ITAB.2010.5687629
  22. Arrais, J.P.; Oliveira, J.L.. "On the exploitation of cloud computing in bioinformatics". 2010.
    10.1109/ITAB.2010.5687653
  23. Lopes, P.; Arrais, J.; Oliveira, J.L.. "Link integrator: A link-based data integration architecture". 2009.
  24. Lopes, P.; Arrais, J.; Oliveira, J.L.. "Dynamic Service integration using web-based workflows". 2008.
    10.1145/1497308.1497426
  25. Arrais, J.P.; Carreto, L.; Santos, M.A.; Oliveira, J.L.. "A microarray information database". 2008.
    10.1109/BIOTECHNO.2008.22
  26. Polónia, D.F.; Arrais, J.; Oliveira, J.L.. "A prospective study on the integration of microarray data in HIS/EPR". 2006.
Artigo em revista
  1. Rita I. Oliveira; Tiago O. Pereira; Maryam Abbasi; Jorge A.R. Salvador; Joel P. Arrais. "Deep learning for small-molecule drug discovery: From molecular design to clinical translation". Journal of Pharmaceutical Analysis (2025): https://doi.org/10.1016/j.jpha.2025.101533.
    10.1016/j.jpha.2025.101533
  2. Guilherme Henriques; Maryam Abbasi; Daniel Martins; Joel P. Arrais. "Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes". Journal of Integrative Bioinformatics (2025): https://doi.org/10.1515/jib-2024-0057.
    10.1515/jib-2024-0057
  3. Luis H.M. Torres; Joel P. Arrais; Bernardete Ribeiro. "Rethinking transformers with convolution and graph embeddings for few-shot molecular property discovery". Pattern Recognition (2025): https://doi.org/10.1016/j.patcog.2025.111657.
    10.1016/j.patcog.2025.111657
  4. Tiago O. Pereira; Maryam Abbasi; Joel P. Arrais. "ABIET: An explainable transformer for identifying functional groups in biological active molecules". Computers in Biology and Medicine (2025): https://doi.org/10.1016/j.compbiomed.2025.109740.
    10.1016/j.compbiomed.2025.109740
  5. Pedro Quesado; Luis H.M. Torres; Bernardete Ribeiro; Joel P. Arrais. "A Hybrid GNN Approach for Improved Molecular Property Prediction". Journal of Computational Biology (2024): https://doi.org/10.1089/cmb.2023.0452.
    10.1089/cmb.2023.0452
  6. Luis H. M. Torres; Joel P. Arrais; Bernardete Ribeiro. "Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction". Journal of Cheminformatics (2024): http://dx.doi.org/10.1186/s13321-024-00902-4.
    10.1186/s13321-024-00902-4
  7. Nelson R. C. Monteiro; Oliveira, José Luis; Joel P. Arrais. Autor correspondente: Nelson R. C. Monteiro. "TAG-DTA: Binding-region-guided strategy to predict drug-target affinity using transformers". Expert Systems with Applications (2024): https://doi.org/10.1016/j.eswa.2023.122334.
    Publicado • 10.1016/j.eswa.2023.122334
  8. Abbasi, Maryam; Filipa G. Carvalho; Bernardete Ribeiro; Joel P. Arrais. Autor correspondente: Abbasi, Maryam. "Predicting drug activity against cancer through genomic profiles and SMILES". Artificial Intelligence in Medicine (2024): https://doi.org/10.1016/j.artmed.2024.102820.
    10.1016/j.artmed.2024.102820
  9. Tiago O. Pereira; Abbasi, Maryam; Rita I. Oliveira; Romina A. Guedes; Jorge A. R. Salvador; Joel P. Arrais. "Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information". Journal of Computer-Aided Molecular Design (2023): http://dx.doi.org/10.1007/s10822-023-00539-9.
    10.1007/s10822-023-00539-9
  10. Nelson R. C. Monteiro; Tiago O. Pereira; Ana Catarina D. Machado; Oliveira, José Luis; Abbasi, Maryam; Joel P. Arrais. Autor correspondente: Nelson R. C. Monteiro. "FSM-DDTR: End-to-end feedback strategy for multi-objective De Novo drug design using transformers". Computers in Biology and Medicine (2023): https://doi.org/10.1016/j.compbiomed.2023.107285.
    Publicado • 10.1016/j.compbiomed.2023.107285
  11. Luis H.M. Torres; Bernardete Ribeiro; Joel P. Arrais. "Few-shot learning with transformers via graph embeddings for molecular property prediction". Expert Systems with Applications (2023): https://doi.org/10.1016/j.eswa.2023.120005.
    10.1016/j.eswa.2023.120005
  12. Luis Torres; Joel P. Arrais; Bernardete Ribeiro. "Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction". Neural Computing and Applications 35 (2023): 13167-13185.
    10.1007/s00521-023-08403-5
  13. António Cruz; Joel P. Arrais; Penousal Machado. "Force-Directed Timelines: Visualizing & Exploring Temporal Patterns". Big Data Research 27 (2022): 100291-100291. https://doi.org/10.1016/j.bdr.2021.100291.
    10.1016/j.bdr.2021.100291
  14. Anuschka Silva-Spínola; Inês Baldeiras; Joel P. Arrais; Isabel Santana. "The Road to Personalized Medicine in Alzheimer’s Disease: The Use of Artificial Intelligence". Biomedicines 10 2 (2022): 315-315. https://doi.org/10.3390/biomedicines10020315.
    10.3390/biomedicines10020315
  15. Abbasi, M.; Santos, B.P.; Pereira, T.C.; Sofia, R.; Monteiro, N.R.C.; Simões, C.J.V.; Brito, R.; et al. "Designing optimized drug candidates with Generative Adversarial Network". Journal of Cheminformatics 14 1 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85133030061&partnerID=MN8TOARS.
    10.1186/s13321-022-00623-6
  16. Papaiz, F.; Dourado, M.E.T.; Valentim, R.A.D.M.; de Morais, A.H.F.; Arrais, J.P.. "Machine Learning Solutions Applied to Amyotrophic Lateral Sclerosis Prognosis: A Review". Frontiers in Computer Science 4 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85130128050&partnerID=MN8TOARS.
    10.3389/fcomp.2022.869140
  17. Monteiro, N.R.C.; Simões, C.J.V.; Ávila, H.V.; Abbasi, M.; Oliveira, J.L.; Arrais, J.P.. "Explainable deep drug–target representations for binding affinity prediction". BMC Bioinformatics 23 1 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85132117723&partnerID=MN8TOARS.
    10.1186/s12859-022-04767-y
  18. Monteiro, N.R.C.; Oliveira, J.L.; Arrais, J.P.. "DTITR: End-to-end drug–target binding affinity prediction with transformers". Computers in Biology and Medicine 147 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85132857403&partnerID=MN8TOARS.
    10.1016/j.compbiomed.2022.105772
  19. Antonio Cruz; Joel P. Arrais; Penousal Machado. "Multivariate Data Exploration Through Coordinated Views". IEEE Access (2022): https://doi.org/10.1109/ACCESS.2022.3194072.
    10.1109/ACCESS.2022.3194072
  20. Pereira, T.; Abbasi, M.; Oliveira, J.L.; Ribeiro, B.; Arrais, J.. "Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design". Bioinformatics 37 (2021): I84-I92. http://www.scopus.com/inward/record.url?eid=2-s2.0-85111954864&partnerID=MN8TOARS.
    10.1093/bioinformatics/btab301
  21. Monteiro NRC; Ribeiro B; Arrais J. "Drug-Target Interaction Prediction: End-to-End Deep Learning Approach.". IEEE/ACM transactions on computational biology and bioinformatics (2020): http://europepmc.org/abstract/med/32142454.
    10.1109/tcbb.2020.2977335
  22. Lucas, P.; Silva, J.; Araujo, F.; Silva, C.; Gil, P.; Arrais, J.P.; Coutinho, D.; et al. "NanoSen-AQM: From sensors to users". International journal of online and biomedical engineering 16 4 (2020): 51-62. http://www.scopus.com/inward/record.url?eid=2-s2.0-85085898487&partnerID=MN8TOARS.
    10.3991/ijoe.v16i04.11871
  23. Cruz, A.; MacHado, P.; Arrais, J.P.. "CroP-Coordinated Panel visualization for biological networks analysis". Bioinformatics 36 4 (2020): 1298-1299. http://www.scopus.com/inward/record.url?eid=2-s2.0-85080842178&partnerID=MN8TOARS.
    10.1093/bioinformatics/btz688
  24. Fernanda B. Correia; Edgar D. Coelho; José L. Oliveira; Joel P. Arrais; Brito Correia F; Coelho ED; Oliveira JL; Arrais JP. "Handling Noise in Protein Interaction Networks". BioMed Research International (2019): https://doi.org/10.1155/2019/8984248.
    10.1155/2019/8984248
  25. Arrais, Joel; Cruz, A.; Arrais, J.P.; Machado, P.. "Interactive and coordinated visualization approaches for biological data analysis". Briefings in bioinformatics 20 4 (2018): 1513-1523. https://doi.org/10.1093/bib/bby019.
    https://doi.org/10.1093/bib/bby019
  26. Cruz, I.; Esteves, E.; Fernandes, M.; Rosa, N.; Correia, M.J.; Arrais, J.P.; Barros, M.; Arrais, Joel. "SalivaPRINT Toolkit – Protein profile evaluation and phenotype stratification". Journal of Proteomics 171 (2018): 81-86. http://www.scopus.com/inward/record.url?eid=2-s2.0-85028633099&partnerID=MN8TOARS.
    10.1016/j.jprot.2017.08.011
  27. Eduardo Esteves; Nuno Rosa; Maria José Correia; Joel P. Arrais; Marlene Barros. "New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach". BioMed Research International (2017): https://doi.org/10.1155/2017/1734151.
    10.1155/2017/1734151
  28. Joel P. Arrais; Ana Laranjeira; Gonçalo Oliveira; Bernardete Ribeiro. "Deep learning in digital marketing: brand detection and emotion recognition". International Journal of Machine Intelligence and Sensory Signal Processing 2 1 (2017): 32-32. https://doi.org/10.1504%2Fijmissp.2017.10009120.
    10.1504/ijmissp.2017.10009120
  29. Edgar D. Coelho; James M. Briggs; Joel P. Arrais; José Luís Oliveira. "Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction". PLOS Computational Biology 12 11 (2016): e1005219-e1005219. https://doi.org/10.1371%2Fjournal.pcbi.1005219.
    10.1371/journal.pcbi.1005219
  30. Fernandes, M.; Rosa, N.; Esteves, E.; Correia, M.J.; Arrais, J.; Ribeiro, P.; Vala, H.; Barros, M.. "CanisOme - The protein signatures of Canis lupus familiaris diseases". Journal of Proteomics 136 (2016): 193-201. http://www.scopus.com/inward/record.url?eid=2-s2.0-84959339632&partnerID=MN8TOARS.
    10.1016/j.jprot.2016.01.005
  31. Jain, S.; Arrais, J.; Venkatachari, N.J.; Ayyavoo, V.; Bar-Joseph, Z.. "Reconstructing the temporal progression of HIV-1 immune response pathways". Bioinformatics 32 12 (2016): i253-i261. http://www.scopus.com/inward/record.url?eid=2-s2.0-84976491685&partnerID=MN8TOARS.
    10.1093/bioinformatics/btw254
  32. Coelho, E.D.; Santiago, A.M.; Arrais, J.P.; Oliveira, J.L.. "Computational methodology for predicting the landscape of the human-microbial interactome region level influence". Journal of Bioinformatics and Computational Biology 13 5 (2015): http://www.scopus.com/inward/record.url?eid=2-s2.0-84947041842&partnerID=MN8TOARS.
    10.1142/S0219720015500237
  33. Perdiz Arrais, J.; Oliveira, J.L.. "RecRWR: A recursive random walk method for improved identification of diseases". BioMed Research International 2015 (2015): http://www.scopus.com/inward/record.url?eid=2-s2.0-84927144569&partnerID=MN8TOARS.
    10.1155/2015/747156
  34. Reboiro-Jato, M.; Arrais, J.P.; Oliveira, J.L.; Fdez-Riverola, F.. "GeneCommittee: A web-based tool for extensively testing the discriminatory power of biologically relevant gene sets in microarray data classification". BMC Bioinformatics 15 1 (2014): http://www.scopus.com/inward/record.url?eid=2-s2.0-84893179202&partnerID=MN8TOARS.
    10.1186/1471-2105-15-31
  35. Rosa, N.; Correia, M.J.; Arrais, J.P.; Costa, N.; Oliveira, J.L.; Barros, M.. "The landscape of protein biomarkers proposed for periodontal disease: Markers with functional meaning". BioMed Research International 2014 (2014): http://www.scopus.com/inward/record.url?eid=2-s2.0-84904108852&partnerID=MN8TOARS.
    10.1155/2014/569632
  36. Coelho, E.D.; Arrais, J.P.; Matos, S.; Pereira, C.; Rosa, N.; Correia, M.J.; Barros, M.; Oliveira, J.L.. "Computational prediction of the human-microbial oral interactome". BMC Systems Biology 8 1 (2014): http://www.scopus.com/inward/record.url?eid=2-s2.0-84897570043&partnerID=MN8TOARS.
    10.1186/1752-0509-8-24
  37. Coelho, E.D.; Arrais, J.P.; Oliveira, J.L.. "From protein-protein interactions to rational drug design: Are computational methods up to the challenge?". Current Topics in Medicinal Chemistry 13 5 (2013): 602-618. http://www.scopus.com/inward/record.url?eid=2-s2.0-84878589163&partnerID=MN8TOARS.
    10.2174/1568026611313050005
  38. Arrais, J.P.; Rosa, N.; Melo, J.; Coelho, E.D.; Amaral, D.; Correia, M.J.; Barros, M.; Oliveira, J.L.. "OralCard: A bioinformatic tool for the study of oral proteome". Archives of Oral Biology 58 7 (2013): 762-772. http://www.scopus.com/inward/record.url?eid=2-s2.0-84878216035&partnerID=MN8TOARS.
    10.1016/j.archoralbio.2012.12.012
  39. Rosa, N.; Correia, M.J.; Arrais, J.P.; Lopes, P.; Melo, J.; Oliveira, J.L.; Barros, M.. "From the salivary proteome to the OralOme: Comprehensive molecular oral biology". Archives of Oral Biology 57 7 (2012): 853-864. http://www.scopus.com/inward/record.url?eid=2-s2.0-84862872419&partnerID=MN8TOARS.
    10.1016/j.archoralbio.2011.12.010
  40. Novais, S.C.; Arrais, J.; Lopes, P.; Vandenbrouck, T.; de Coen, W.; Roelofs, D.; Soares, A.M.V.M.; Amorim, M.J.B.. "Enchytraeus albidus microarray: Enrichment, design, annotation and database (enchyBASE)". PLoS ONE 7 4 (2012): http://www.scopus.com/inward/record.url?eid=2-s2.0-84860441378&partnerID=MN8TOARS.
    10.1371/journal.pone.0034266
  41. Arrais, Joel. "Using biomedical networks to prioritize gene-disease associations". Open Access Bioinformatics 2011 3 (2011): 123-130.
  42. Matos, S.; Arrais, J.P.; Maia-Rodrigues, J.; Oliveira, J.L.. "Concept-based query expansion for retrieving gene related publications from MEDLINE". BMC Bioinformatics 11 (2010): http://www.scopus.com/inward/record.url?eid=2-s2.0-77951569837&partnerID=MN8TOARS.
    10.1186/1471-2105-11-212
  43. Arrais, J.P.; Fernandes, J.; Pereira, J.; Oliveira, J.L.. "GeneBrowser 2: An application to explore and identify common biological traits in a set of genes". BMC Bioinformatics 11 (2010): http://www.scopus.com/inward/record.url?eid=2-s2.0-77954675055&partnerID=MN8TOARS.
    10.1186/1471-2105-11-389
  44. Arrais, J.; Pereira, J.E.; Fernandes, J.; Oliveira, J.L.. "GeNS: A biological data integration platform". World Academy of Science, Engineering and Technology 58 (2009): 850-855. http://www.scopus.com/inward/record.url?eid=2-s2.0-79954504232&partnerID=MN8TOARS.
  45. Soares, A.R.; Pereira, P.M.; Santos, B.; Egas, C.; Gomes, A.C.; Arrais, J.; Oliveira, J.L.; Moura, G.R.; Santos, M.A.S.. "Parallel DNA pyrosequencing unveils new zebrafish microRNAs". BMC Genomics 10 (2009): http://www.scopus.com/inward/record.url?eid=2-s2.0-65949098165&partnerID=MN8TOARS.
    10.1186/1471-2164-10-195
  46. Moura, G.; Pinheiro, M.; Arrais, J.; Gomes, A.C.; Carreto, L.; Freitas, A.; Oliveira, J.L.; Santos, M.A.S.. "Large scale comparative codon-pair context analysis unveils general rules that fine-tune evolution of mRNA primary structure". PLoS ONE 2 9 (2007): http://www.scopus.com/inward/record.url?eid=2-s2.0-39449087192&partnerID=MN8TOARS.
    10.1371/journal.pone.0000847
  47. Arrais, Joel. "GeneBrowser: an approach for integration and functional classification of genomic data". Journal of Integrative Bioinformatics 4 3 (2007): 264-273.
    10.1515/jib-2007-82
  48. Arrais, Joel. "Implementação de Algoritmo de Compressão e Descompressão de Dados para Modelo de Co-processamento baseado em FPGA’s". Electrónica e Telecomunicações 4 2 (2004): 215-220.
Capítulo de livro
  1. Maryam Abbasi; Verónica Vasconcelos; Edgar M. C. O. S. Vicente; Ana L. M. Santos; Joel P. Arrais. "A Novel Deep Learning Framework for Predicting Antimicrobial Peptide Activity Using ProtBert and Neural Networks". 2026.
    10.1007/978-3-031-99568-2_6
  2. Guilherme M. Henriques; Maryam Abbasi; Daniel Martins; Joel P. Arrais. "CNN Models in Prediction of Feno Type from Genotype". 2025.
    10.1007/978-3-031-87873-2_21
  3. Daniel Martins; Conceição Egas; Joel P. Arrais. "The Impact of Schizophrenia Misdiagnosis Rates on Machine Learning Models Performance". 2023.
    10.1007/978-3-031-38079-2_1
  4. Nelson R. C. Monteiro; Bernardete Ribeiro; Joel P. Arrais. "Deep Neural Network Architecture for Drug-Target Interaction Prediction". 2019.
    10.1007/978-3-030-30493-5_76
  5. Arrais, Joel. "Expanding Gene-Based PubMed Queries". 61-68. Springer, Berlin, Heidelberg, 2010.
    10.1007/978-3-642-13214-8_8
  6. Arrais, Joel; Pereira, Joao E.; Lopes, Pedro; Matos, Sergio; Oliveira, Jose Luis. "Improving Cross Mapping in Biomedical Databases". editado por Rocha, M. P. Riverola F. F. Shatkay H. Corchado J. M., 69-76. 2010.
    10.1007/978-3-642-13214-8_9
Livro
  1. Antunes, D.; Martins, D.; Correia, F.; Rocha, M.; Arrais, J.P.. Computational Methods for the Identification of Genetic Variants in Complex Diseases. 2022.
    10.1007/978-3-030-86258-9_1
  2. Santiago, A.M.; Rocha, M.; Dourado, A.; Arrais, J.P.. Mixed-integer programming model for profiling disease biomarkers from gene expression studies. 2017.
    10.1007/978-3-319-56154-7_6
  3. Barbosa, P.; Dias, O.; Arrais, J.P.; Rocha, M.. Metagenomic analysis of the saliva microbiome with merlin. 2014.
    10.1007/978-3-319-07581-5_23
  4. Melo, J.; Arrais, J.P.; Coelho, E.; Lopes, P.; Rosa, N.; Correia, M.J.; Barros, M.; Oliveira, J.L.. Data Integration Solution for Organ-Specific Studies: An Application for Oral Biology. 2013.
    10.1007/978-3-642-38256-7_27
  5. Barbosa, F.C.; Arrais, J.P.; Oliveira, J.L.. Quantitative Characterization of Protein Networks of the Oral Cavity. 2013.
    10.1007/978-3-319-00578-2_9
  6. Arrais, J.P.; Lopes, P.; Oliveira, J.L.. Challenges storing and representing biomedical data. 2011.
    10.1007/978-3-642-25364-5_6
  7. Lopes, P.; Arrais, J.; Oliveira, J.L.. DynamicFlow: A client-side workflow management system. 2009.
    10.1007/978-3-642-02481-8_167
  8. Arrais, J.P.; Rodrigues, J.G.L.M.; Oliveira, J.L.. Improving literature searches in gene expression studies. 2009.
    10.1007/978-3-540-85861-4_10
Poster em conferência
  1. Nelson R. C. Monteiro; Oliveira, José Luis; Joel P. Arrais. Autor correspondente: Nelson R. C. Monteiro. "Intrinsic Explainability and Multi-Domain Inter-Dependency: End-to-End Drug-Target Binding Affinity Prediction with Transformers". Trabalho apresentado em Science and Technology Summit, 2013 (Ciência 2023), 2023.
  2. Torres, Luis H. M.; Ribeiro, Bernardete; Arrais, Joel; Torres, L.; Monteiro, N.; Oliveira, J.; Arrais, J.; Ribeiro, B.. "Exploring a Siamese Neural Network Architecture for Drug Discovery". Trabalho apresentado em RECPAD2020, 26th Portuguese Conference on Pattern Recognition, 2020.
    10.1109/BIBE50027.2020.00035
  3. Torres, Luis H. M.; Nelson R. C. Monteiro; Ribeiro, Bernardete; José L. Oliveira; Arrais, Joel. "Siamese Neural Networks for One-Shot Drug Discovery". Trabalho apresentado em Bioinformatics Open Days (BOD) 2020, 2020.
  4. Nelson R. C. Monteiro; Ribeiro, Bernardete; Arrais, Joel. "End-to-End Deep Learning Approach for Drug-Target Interaction Prediction". Trabalho apresentado em Ciência2019, Science and Technology Summit, 2019.
  5. S Rei; Luís Filipe de Sepúlveda Silva Santos; Joel P. Arrais; Nuno Ricardo das Neves Rosa; Marlene Maria Tourais de Barros; Maria José Serol de Brito Correia. "miRNAs como biomarcadores: actualização da base de dados OralOme". Trabalho apresentado em I Jornadas Científicas da Primavera, 2015.

Outros

Outra produção
  1. Enhancing Reinforcement Learning for de novo Molecular Design Applying Self Attention Mechanisms. 2023. Tiago Pereira; Maryam Abbasi; Joel P. Arrais. https://doi.org/10.1093/bib/bbad368.
    10.1093/bib/bbad368
  2. Diversity Oriented Deep Reinforcement Learning for Targeted Molecule Generation. Journal of Cheminformatics. 2020. Tiago Pereira; Maryam Abbasi; Bernardete Ribeiro; Joel P. Arrais; Pereira, T.; Abbasi, M.; Ribeiro, B.; Arrais, J.P.. https://doi.org/10.21203/rs.3.rs-110570/v1.
    10.21203/rs.3.rs-110570/v1
  3. Interactive Network Visualization of Gene Expression Time-Series Data. 2018. Antonio Cruz; Joel P. Arrais; Penousal Machado; Cruz, A.; Arrais, J.P.; Machado, P.. https://doi.org/10.1109%2Fiv.2018.00105.
    10.1109/iv.2018.00105
  4. Fighting Fire with Fire: Computational Prediction of Microbial Targets for Bacteriocins. 2018. Edgar D. Coelho; Joel P. Arrais; José Luís Oliveira. https://doi.org/10.1007%2F978-3-319-78723-7_19.
    10.1007/978-3-319-78723-7_19
  5. On the role of aesthetics in genetic algorithms applied to graph drawing. 2017. Evgheni Polisciuc; António Cruz; Penousal Machado; Joel P. Arrais. https://doi.org/10.1145%2F3067695.3082552.
    10.1145/3067695.3082552
  6. A sequence-based mesh classifier for the prediction of protein-protein interactions. 2017. Coelho, E.D.; Cruz, I.N.; Santiago, A.; Oliveira, J.L.; Dourado, A.; Arrais, J.P.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85094478095&partnerID=MN8TOARS.
  7. CanisOme Database. Software. 2016. Fernandes, Mónica; Rosa, Nuno; Esteves, Eduardo; Correia, M.J.; Arrais, Joel; Vala, Helena; Barros, Marlene. http://salivatec.viseu.ucp.pt/canisome/.
  8. Hardware/Software Implementation of FPGA-Targeted Matrix-Oriented SAT Solvers. Lecture Notes in Computer Science. 2004. Sklyarov, Valery; Skliarova, Iouliia; Pimentel, Bruno; Arrais, Joel. http://dx.doi.org/10.1007/978-3-540-30117-2_100.
    10.1007/978-3-540-30117-2_100
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2021/03 Deep Learning techniques for drug discovery Biomedical students meeting
(Coimbra)
2020 Joel P. Arrais, "Exploring Deep Learning for improved Drug Discovery", Bioinformatics Open Days, Braga, Portugal, 2020
2019 Joel P. Arrais, "The impact of Bioinformatics and Machine Learning in Drug Discovery", 53rd Annual Scientific Meeting of the European Society for Clinical Investigation, Coimbra, Portugal, 2019
2019 Joel P. Arrais, "Deep Learning potential to fill the gene-disease gap", Biotech-UC, Cantanhede, Portugal, 2019
2018 Joel P. Arrais, "Using gene expression data to reconstruct gene regulatory networks", 2nd Portuguese Meeting in Biomathematics, Aveiro, Portugal, 2018
2017 Joel P. Arrais, “The role of intelligent algorithms on phealth”, Center for Research & Development in Mathematics and Applications (CIDMA), Aveiro, Portugal, 2017
2016 Joel P. Arrais, "From time series data to gene regulatory networks", CECAD, Cologne, Germany, 2016
2015 Joel P. Arrais, "Using time series data to reconstruct gene signalling networks", Laboratório de Armindo Salvador, Centro de Neurociências e Biologia Celular, Coimbra, Portugal, 2015
2014 Joel P. Arrais, "Computational Prediction and analysis of Biological Networks", Ziv Bar-Zoseph Group, Carnegie Mellon, USA, 2014
2013 Joel P. Arrais, "Computational Prediction of the Human-Bacteria Interactome", Bioinformatics Open Days, Braga, Portugal, 2013
2008 Joel P. Arrais, “Improving data management in a [small] gene expression laboratory”, European Bioinformatics Institute, Cambridge, UK, 2008
2006 Joel P. Arrais, “Microarray data: from the hybridisation to the analysis”, sessão “Best of results”, European Summer School on Biomedical Informatics, Balatonfüred, Hungria, 2006

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2019 - Atual Deep Learning architectures for optimal analysis of Type 2 diabetes heritability
Orientador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2019 - Atual Deep Learning Approach for Drug-Target Interaction Prediction
Orientador
 Computer Science (Doutoramento)
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2019 - Atual Machine learning for aircraft maintenance adaptive real-timeplanning and scheduling based on constraints
Coorientador
 Computer Science (Doutoramento)
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2017 - Atual Interactive Visualization Models for Complex Biological Networks
Coorientador de Anto´nio Malta Lopes da Cruz
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2012 - 2019 Prediction and analysis of biological networks structure and dynamics
Coorientador
Universidade de Aveiro, Portugal
2012 - 2017 Computational prediction of inter-species protein-protein interactions
Coorientador de Edgar Duarte de Jesus Valente Marques Coelho
 Doutoramento em Ciências da Computação (Doutoramento)
Universidade de Aveiro, Portugal

Arbitragem científica em conferência

Nome da conferência Local da conferência
2019 - Atual 15th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON2019))
2012 - Atual APCA International Conference on Control and Soft Computing (CONTROLO)
2012 - Atual International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB)
2012 - Atual International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB)
2012 - Atual International Work-Conference on Bioinformatics and Biomedical Engineering (IWIBBIO)
2012 - Atual International Joint Conference on Biomedical Engineering Systems and Technologies (BIOINFORMATICS)
2012 - Atual Simpósio de Informática (INFORUM)
2012 - Atual Iberian Conference on Information Systems and Technologies (CISTI)
2012 - Atual World Congress on Medical and Health Informatics (MedInfo)
2012 - Atual The International Conference on Health Informatics (ICHI)

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2012 - Atual Applied Computational Intelligence and Soft Computing (1687-9732) Hindawi Limited
2012 - Atual Bioinformatics (1460-2059) Oxford University Press
2012 - Atual BMC Bioinformatics (1471-2105) Springer (Biomed Central Ltd.)
2012 - Atual Briefings in Bioinformatics (1477-4054) Oxford University Press
2012 - Atual IEEE/ACM Transactions on Computational Biology and Bioinformatics (1557-9964) Institute of Electrical and Electronics Engineers
2012 - Atual Journal of Integrative Bioinformatics (1613-4516) Walter de Gruyter GmbH
2012 - Atual Computational and Structural Biotechnology Journal (2001-0370) Elsevier

Comissão de avaliação

Descrição da atividade
Tipo de assessoria 		Instituição / Organização Entidade financiadora
2020/10 - Atual Project evaluator for the ANI (national innovation agency) for the call 17/SI/2019.
2019/10 - Atual Project evaluator for the cal for proposals "Innovative eScience Technologies for ‘Big Science’" promoted by the Netherlands eScience center.
Avaliador

Membro de associação

Nome da associação Tipo de participação
2017 - Atual Membro da Associação Portuguesa de Reconhecimento de Padrões (APRP), que visa a promoção de avanços, quer na teoria quer nas aplicações práticas, da disciplina científica do reconhecimento de padrões. http://www.aprp.pt
2017 - Atual Membro da rede HCI-KDD que visa explorar soluções que combinem técnicas de Human-Computer Interaction (HCI) com Knowledge Discovery/Data Mining (KDD). http://hci-kdd.org/international-expert-network