Abbasi M - Search Results

1

Designing optimized drug candidates with Generative Adversarial Network.

Abbasi M, Santos BP, Pereira TC, Sofia R, Monteiro NRC, Simões CJV, Brito RMM, Ribeiro B, Oliveira JL, Arrais JP. Abbasi M, et al. J Cheminform. 2022 Jun 26;14(1):40. doi: 10.1186/s13321-022-00623-6. J Cheminform. 2022. PMID: 35754029 Free PMC article.

2

Diversity oriented Deep Reinforcement Learning for targeted molecule generation.

Pereira T, Abbasi M, Ribeiro B, Arrais JP. Pereira T, et al. Among authors: abbasi m. J Cheminform. 2021 Mar 9;13(1):21. doi: 10.1186/s13321-021-00498-z. J Cheminform. 2021. PMID: 33750461 Free PMC article.

3

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

Pereira T, Abbasi M, Oliveira JL, Ribeiro B, Arrais J. Pereira T, et al. Among authors: abbasi m. Bioinformatics. 2021 Jul 12;37(Suppl_1):i84-i92. doi: 10.1093/bioinformatics/btab301. Bioinformatics. 2021. PMID: 34252946 Free PMC article.

4

Explainable deep drug-target representations for binding affinity prediction.

Monteiro NRC, Simões CJV, Ávila HV, Abbasi M, Oliveira JL, Arrais JP. Monteiro NRC, et al. Among authors: abbasi m. BMC Bioinformatics. 2022 Jun 17;23(1):237. doi: 10.1186/s12859-022-04767-y. BMC Bioinformatics. 2022. PMID: 35715734 Free PMC article.

5

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

Pereira T, Abbasi M, Oliveira RI, Guedes RA, Salvador JAR, Arrais JP. Pereira T, et al. Among authors: abbasi m. Brief Bioinform. 2022 Jul 18;23(4):bbac270. doi: 10.1093/bib/bbac270. Brief Bioinform. 2022. PMID: 35789255

6

Correction to: Designing optimized drug candidates with Generative Adversarial Network.

Abbasi M, Santos BP, Pereira TC, Sofa R, Monteiro NRC, Simões CJV, Brito RMM, Ribeiro B, Oliveira JL, Arrais JP. Abbasi M, et al. J Cheminform. 2022 Aug 11;14(1):53. doi: 10.1186/s13321-022-00631-6. J Cheminform. 2022. PMID: 35953869 Free PMC article. No abstract available.

7

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

Monteiro NRC, Pereira TO, Machado ACD, Oliveira JL, Abbasi M, Arrais JP. Monteiro NRC, et al. Among authors: abbasi m. Comput Biol Med. 2023 Sep;164:107285. doi: 10.1016/j.compbiomed.2023.107285. Epub 2023 Jul 31. Comput Biol Med. 2023. PMID: 37557054 Free article.

8

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

Pereira TO, Abbasi M, Oliveira RI, Guedes RA, Salvador JAR, Arrais JP. Pereira TO, et al. Among authors: abbasi m. J Comput Aided Mol Des. 2023 Dec;37(12):791-806. doi: 10.1007/s10822-023-00539-9. Epub 2023 Oct 17. J Comput Aided Mol Des. 2023. PMID: 37847342 Free PMC article.

9

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

Pereira TO, Abbasi M, Arrais JP. Pereira TO, et al. Among authors: abbasi m. Brief Bioinform. 2023 Sep 22;24(6):bbad368. doi: 10.1093/bib/bbad368. Brief Bioinform. 2023. PMID: 37903414

10

Tau modulation through AAV9 therapy augments Akt/Erk survival signalling in glaucoma mitigating the retinal degenerative phenotype.

Thananthirige KPM, Chitranshi N, Basavarajappa D, Rajput R, Abbasi M, Palanivel V, Gupta VB, Paulo JA, Koronyo-Hamaoui M, Mirzaei M, Graham SL, Gupta V. Thananthirige KPM, et al. Among authors: abbasi m. Acta Neuropathol Commun. 2024 Jun 7;12(1):89. doi: 10.1186/s40478-024-01804-0. Acta Neuropathol Commun. 2024. PMID: 38845058

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