Joel P. Arrais

University of Coimbra — Portugal

Computer Science · Physical Sciences

19h-index1.3kcitations129works2.32yr avg
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Research Topics

Computational Drug Discovery Methods(42), Bioinformatics and Genomic Networks(36), Machine Learning in Bioinformatics(19), Gene expression and cancer classification(18), Protein Structure and Dynamics(17)

Publications129 total

Additional file 1 of Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery
Figshare·2026Open Access
Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery
Figshare·2026Open Access
Additional file 1 of Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery
Figshare·2026Open Access
Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery
Figshare·2026Open Access
Review of advanced algorithms and imaging techniques in food analysis: a path to the future
Trends in Food Science & Technology·2025· 1 cited
xLSTM-AmPEP60: An xLSTM Model for the Minimum Inhibitory Concentrations Prediction of Antimicrobial Peptides
2025
Enhancing kinase-inhibitor activity and selectivity prediction through contrastive learning
Nature Communications·2025· 2 citedOpen Access
Deep learning for small-molecule drug discovery: From molecular design to clinical translation
Journal of Pharmaceutical Analysis·2025Open Access
Convolutional Spiking Neural Networks with Molecular Fingerprints for Drug Discovery
Lecture notes in computer science·2025
A Novel Deep Learning Framework for Predicting Antimicrobial Peptide Activity Using ProtBert and Neural Networks
Lecture notes in computer science·2025
Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics·2025Open Access
Rethinking transformers with convolution and graph embeddings for few-shot molecular property discovery
Pattern Recognition·2025· 3 citedOpen Access
Predicting progression of mild cognitive impairment patients through four distinctive subgroups obtained by unsupervised learning algorithms
Journal of Alzheimer s Disease·2025
ABIET: An explainable transformer for identifying functional groups in biological active molecules
Computers in Biology and Medicine·2025· 2 citedOpen Access
Advancing mutagenicity predictions in drug discovery with an explainable few-shot deep learning framework
Digital Discovery·2025Open Access
CNN Models in Prediction of Feno Type from Genotype
Lecture notes in networks and systems·2025
Predicting ALS progression using Autoregressive deep learning models
Intelligence-Based Medicine·2025Open Access
Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction
Journal of Cheminformatics·2024· 6 citedOpen Access
Enhancing schizophrenia phenotype prediction from genotype data through knowledge-driven deep neural network models
Genomics·2024Open Access
A Hybrid GNN Approach for Improved Molecular Property Prediction
Journal of Computational Biology·2024· 5 cited
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Frequent Co-authors

José Luís Oliveira(25), Bernardete Ribeiro(18), Maryam Abbasi(11), Nelson R. C. Monteiro(9), Tiago Pereira(7), Edgar D. Coelho(7), Nuno Rosa(6), Maria José Correia(6), Marlene Barros(6), Luis H.M. Torres(6), Manuel A. S. Santos(4), Laura Carreto(3), Beatriz P. Santos(3), Carlos J. V. Simões(3), Gabriela Moura(2), Tiago C. Pereira(2), Raul Sofia(2), Rui M. M. Brito(2), Bruno Santos(2), Pedro Lopes(2)