Joel P. Arrais

Paco, Portugal

Last Updated: 09/26/2026

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Found 39 publications

Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery.

Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery.

Journal: Bioresources and bioprocessing

Published: October 03, 2025

Deep learning for small-molecule drug discovery: From molecular design to clinical translation.

Deep learning for small-molecule drug discovery: From molecular design to clinical translation.

Journal: Journal of pharmaceutical analysis

Published: July 09, 2025

Predicting progression of mild cognitive impairment patients through four distinctive subgroups obtained by unsupervised learning algorithms.

Predicting progression of mild cognitive impairment patients through four distinctive subgroups obtained by unsupervised learning algorithms.

Journal: Journal of Alzheimer's disease : JAD

Published: April 03, 2025

Enhancing kinase-inhibitor activity and selectivity prediction through contrastive learning.

Enhancing kinase-inhibitor activity and selectivity prediction through contrastive learning.

Journal: Nature communications

Published: February 12, 2025

Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes.

Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes.

Journal: Journal of integrative bioinformatics

Published: October 21, 2024

ABIET: An explainable transformer for identifying functional groups in biological active molecules.

ABIET: An explainable transformer for identifying functional groups in biological active molecules.

Journal: Computers in biology and medicine

Published: September 27, 2024

A Hybrid GNN Approach for Improved Molecular Property Prediction.

A Hybrid GNN Approach for Improved Molecular Property Prediction.

Journal: Journal of computational biology : a journal of computational molecular cell biology

Published: July 31, 2024

Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction.

Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction.

Journal: Journal of cheminformatics

Published: April 30, 2024

Enhancing schizophrenia phenotype prediction from genotype data through knowledge-driven deep neural network models.

Enhancing schizophrenia phenotype prediction from genotype data through knowledge-driven deep neural network models.

Journal: Genomics

Published: April 15, 2024

Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis.

Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis.

Journal: BMC medical informatics and decision making

Published: December 16, 2023

Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction.

Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction.

Journal: Journal of integrative bioinformatics

Published: October 18, 2023

Enhancing reinforcement learning for de novo molecular design applying self-attention mechanisms.

Enhancing reinforcement learning for de novo molecular design applying self-attention mechanisms.

Journal: Briefings in bioinformatics

Published: July 05, 2023

Showing 1-12 of 39

Last Updated: 09/26/2026