Tiago Pereira

According to our database, Tiago Pereira authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information.

Tiago O. Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais

J. Comput. Aided Mol. Des., December, 2023

FSM-DDTR: End-to-end feedback strategy for multi-objective <i>De Novo</i> drug design using transformers.

Nelson R. C. Monteiro, Tiago Pereira, Ana Catarina D. Machado, José Luís Oliveira, Maryam Abbasi, Joel P. Arrais

Comput. Biol. Medicine, September, 2023

2022

Deep generative model for therapeutic targets using transcriptomic disease-associated data - USP7 case study.

Tiago Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais

Briefings Bioinform., 2022

2021

Diversity oriented Deep Reinforcement Learning for targeted molecule generation.

Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais

J. Cheminformatics, 2021

Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design.

Tiago Pereira, Maryam Abbasi, José Luís Oliveira, Bernardete Ribeiro, Joel Arrais

Bioinform., 2021

Improvement on Generative Adversarial Network for Targeted Drug Design.

Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Multiobjective Reinforcement Learning in Optimized Drug Design.

Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Optimizing Recurrent Neural Network Architectures for De Novo Drug Design.

Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

End-to-end Deep Reinforcement Learning for Targeted Drug Generation.

Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais

Proceedings of the ICCBB 2020: 4th International Conference on Computational Biology and Bioinformatics, Bali Island, Indonesia, 27 December, 2021, 2020