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Tiago Pereira 0001

Tiago O. Pereira 0001 – Tiago Oliveira Pereira 0001

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affiliation: University of Coimbra, Centre for Informatics and Systems, Department of Informatics Engineering (CISUC), Portugal

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2020 – today

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2023
[j5]
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  - journals/cbm/MonteiroPMOAA23
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  - https://dblp.org/rec/journals/cbm/MonteiroPMOAA23
Nelson R. C. Monteiro, Tiago Pereira, Ana Catarina D. Machado, José Luís Oliveira, Maryam Abbasi, Joel P. Arrais:
FSM-DDTR: End-to-end feedback strategy for multi-objective De Novo drug design using transformers. Comput. Biol. Medicine 164: 107285 (2023)
[j4]
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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): 791-806 (2023)
2022
[j3]
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  - journals/bib/PereiraAOGSA22
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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)
2021
[j2]
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  - journals/bioinformatics/PereiraAORA21
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Tiago Pereira, Maryam Abbasi, José Luís Oliveira, Bernardete Ribeiro, Joel Arrais:
Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design. Bioinform. 37(Supplement): 84-92 (2021)
[j1]
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  - journals/jcheminf/PereiraARA21
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Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais:
Diversity oriented Deep Reinforcement Learning for targeted molecule generation. J. Cheminformatics 13(1): 21 (2021)
[c4]
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  - conf/cbms/SantosAPRA21
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Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais:
Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. CBMS 2021: 172-177
[c3]
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  - conf/esann/AbbasiPSRA21
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Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais:
Multiobjective Reinforcement Learning in Optimized Drug Design. ESANN 2021
[c2]
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Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais:
Improvement on Generative Adversarial Network for Targeted Drug Design. ESANN 2021
2020
[c1]
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  - conf/iccbb/0001ARA20
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Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais:
End-to-end Deep Reinforcement Learning for Targeted Drug Generation. ICCBB 2020: 7-13

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