Joel P. Arrais

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 36

Top Topics

Protein Interaction

Top Venues

J. Cheminformatics

Briefings Bioinform.

Publications

Maryam Abbasi, Filipa G. Carvalho, Bernardete Ribeiro, Joel P. Arrais
Predicting drug activity against cancer through genomic profiles and SMILES. Artif. Intell. Medicine 150 (2024)
Nelson R. C. Monteiro, José Luís Oliveira, Joel P. Arrais
TAG-DTA: Binding-region-guided strategy to predict drug-target affinity using transformers. Expert Syst. Appl. 238 (Part F) (2024)
Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais
Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction. Appl. Soft Comput. 153 (2024)
Daniel Martins, Conceição Egas, Joel P. Arrais
The Impact of Schizophrenia Misdiagnosis Rates on Machine Learning Models Performance. PACBB (2023)
Nelson R. C. Monteiro, Tiago Pereira, Ana Catarina D. Machado, José Luís Oliveira, Maryam Abbasi, Joel P. Arrais
drug design using transformers. Comput. Biol. Medicine 164 (2023)
Tiago O. Pereira, Maryam Abbasi, 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. J. Comput. Aided Mol. Des. 37 (12) (2023)
Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro
Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction. Neural Comput. Appl. 35 (18) (2023)
Adriano Durao, Joel P. Arrais, Bernardete Ribeiro, Gabriel Falcao
On the Quantization of Recurrent Neural Networks for Smiles Generation. ICASSP (2023)
Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais
Few-shot learning with transformers via graph embeddings for molecular property prediction. Expert Syst. Appl. 225 (2023)
Filipa G. Carvalho, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. CBMS (2022)
Nelson R. C. Monteiro, Carlos J. V. Simões, Henrique V. Ávila, Maryam Abbasi, José Luís Oliveira, Joel P. Arrais
Explainable deep drug-target representations for binding affinity prediction. BMC Bioinform. 23 (1) (2022)
António Cruz, Joel P. Arrais, Penousal Machado
Multivariate Data Exploration Through Coordinated Views. IEEE Access 10 (2022)
Maryam Abbasi, Beatriz P. Santos, Tiago Pereira, Raul Sofia, Nelson R. C. Monteiro, Carlos J. V. Simões, Rui Brito, Bernardete Ribeiro, José Luís Oliveira, Joel P. Arrais
Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 14 (1) (2022)
Nelson R. C. Monteiro, José Luís Oliveira, Joel P. Arrais
DTITR: End-to-end drug-target binding affinity prediction with transformers. Comput. Biol. Medicine 147 (2022)
Tiago Pereira, Maryam Abbasi, Rita I Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais
Deep generative model for therapeutic targets using transcriptomic disease-associated data - USP7 case study. Briefings Bioinform. 23 (4) (2022)
Maryam Abbasi, Beatriz P. Santos, Tiago Pereira, Raul Sofa, Nelson R. C. Monteiro, Carlos J. V. Simões, Rui M. M. Brito, Bernardete Ribeiro, José Luís Oliveira, Joel P. Arrais
Correction to: Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 14 (1) (2022)
António Cruz, Joel P. Arrais, Penousal Machado
Force-Directed Timelines: Visualizing & Exploring Temporal Patterns. Big Data Res. 27 (2022)
Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
Diversity oriented Deep Reinforcement Learning for targeted molecule generation. J. Cheminformatics 13 (1) (2021)
Renato Santos, Joel P. Arrais, Paula Alexandra Silva
Analysing Games for Health through Users' Opinion Mining. CBMS (2021)
Débora Antunes, Daniel Martins, Fernanda Correia, Miguel Rocha, Joel P. Arrais
Computational Methods for the Identification of Genetic Variants in Complex Diseases. PACBB (2021)
Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais
Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. CBMS (2021)
Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais
Drug-Target Interaction Prediction: End-to-End Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Luís Silva, Carlos Pereira, Joel P. Arrais
Using a Novel Unbiased Dataset and Deep Learning Architectures to Predict Protein-Protein Interactions. BIBM (2020)
Pedro Lucas, Jorge Sá Silva, Filipe Araújo, Catarina Silva, Paulo Gil, Joel P. Arrais, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira, Alberto Cardoso, Bernardete Ribeiro
NanoSen-AQM: From Sensors to Users. Int. J. Online Biomed. Eng. 16 (4) (2020)
António Cruz, Penousal Machado, Joel P. Arrais
CroP - Coordinated Panel visualization for biological networks analysis. Bioinform. 36 (4) (2020)
Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
End-to-end Deep Reinforcement Learning for Targeted Drug Generation. ICCBB (2020)
António Cruz, Joel P. Arrais, Penousal Machado
Exploring Time-Series Through Force-Directed Timelines. IV (2020)
António Cruz, Joel P. Arrais, Penousal Machado
Interactive and coordinated visualization approaches for biological data analysis. Briefings Bioinform. 20 (4) (2019)
Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais
Deep Neural Network Architecture for Drug-Target Interaction Prediction. ICANN (Workshop) (2019)
Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira
Fighting Fire with Fire: Computational Prediction of Microbial Targets for Bacteriocins. IWBBIO (1) (2018)
António Cruz, Joel P. Arrais, Penousal Machado
Interactive Network Visualization of Gene Expression Time-Series Data. IV (2018)
Evgheni Polisciuc, António Cruz, Penousal Machado, Joel P. Arrais
On the role of aesthetics in genetic algorithms applied to graph drawing. GECCO (Companion) (2017)
André M. Santiago, Miguel Rocha, António Dourado, Joel P. Arrais
Mixed-Integer Programming Model for Profiling Disease Biomarkers from Gene Expression Studies. IWBBIO (2) (2017)
Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira
Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction. PLoS Comput. Biol. 12 (11) (2016)
Fernanda Brito Correia, Joel P. Arrais, José Luís Oliveira
Prediction of Cancer using Network Topological Features. BIOINFORMATICS (2016)
Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira
Ensemble-Based Methodology for the Prediction of Drug-Target Interactions. CBMS (2016)
Edgar D. Coelho, André M. Santiago, Joel P. Arrais, José Luís Oliveira
Computational methodology for predicting the landscape of the human-microbial interactome region level influence. J. Bioinform. Comput. Biol. 13 (5) (2015)
Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira
Uncovering microbial duality within human microbiomes: A novel algorithm for the analysis of host-pathogen interactions. EMBC (2015)
Pedro Barbosa, Oscar Días, Joel P. Arrais, Miguel Rocha
Metagenomic Analysis of the Saliva Microbiome with Merlin. PACBB (2014)
Fernanda Correia Barbosa, Joel P. Arrais, José Luís Oliveira
Quantitative Characterization of Protein Networks of the Oral Cavity. PACBB (2013)
José Melo, Joel P. Arrais, Edgar D. Coelho, Pedro Lopes, Nuno Rosa, Maria José Correia, Marlene Barros, José Luís Oliveira
Data Integration Solution for Organ-Specific Studies: An Application for Oral Biology. BIOSTEC (Selected Papers) (2012)