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Journal Abstract Search

1107 related items for PubMed ID: 32228116

  • 1. The power of deep learning to ligand-based novel drug discovery.
    Baskin II.
    Expert Opin Drug Discov; 2020 Jul; 15(7):755-764. PubMed ID: 32228116
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  • 3. Generative chemistry: drug discovery with deep learning generative models.
    Bian Y, Xie XQ.
    J Mol Model; 2021 Feb 04; 27(3):71. PubMed ID: 33543405
    [Abstract] [Full Text] [Related]

  • 4. Artificial intelligence to deep learning: machine intelligence approach for drug discovery.
    Gupta R, Srivastava D, Sahu M, Tiwari S, Ambasta RK, Kumar P.
    Mol Divers; 2021 Aug 04; 25(3):1315-1360. PubMed ID: 33844136
    [Abstract] [Full Text] [Related]

  • 5. Generative Deep Learning for Targeted Compound Design.
    Sousa T, Correia J, Pereira V, Rocha M.
    J Chem Inf Model; 2021 Nov 22; 61(11):5343-5361. PubMed ID: 34699719
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  • 6. Training recurrent neural networks as generative neural networks for molecular structures: how does it impact drug discovery?
    D'Souza S, Kv P, Balaji S.
    Expert Opin Drug Discov; 2022 Oct 22; 17(10):1071-1079. PubMed ID: 36216812
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  • 9. Deep Convolutional Generative Adversarial Network (dcGAN) Models for Screening and Design of Small Molecules Targeting Cannabinoid Receptors.
    Bian Y, Wang J, Jun JJ, Xie XQ.
    Mol Pharm; 2019 Nov 04; 16(11):4451-4460. PubMed ID: 31589460
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  • 10. Advances in de Novo Drug Design: From Conventional to Machine Learning Methods.
    Mouchlis VD, Afantitis A, Serra A, Fratello M, Papadiamantis AG, Aidinis V, Lynch I, Greco D, Melagraki G.
    Int J Mol Sci; 2021 Feb 07; 22(4):. PubMed ID: 33562347
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  • 11. An overview of neural networks for drug discovery and the inputs used.
    Xu Y, Yao H, Lin K.
    Expert Opin Drug Discov; 2018 Dec 07; 13(12):1091-1102. PubMed ID: 30449189
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  • 12. Deep learning tools to accelerate antibiotic discovery.
    Cesaro A, Bagheri M, Torres M, Wan F, de la Fuente-Nunez C.
    Expert Opin Drug Discov; 2023 Dec 07; 18(11):1245-1257. PubMed ID: 37794737
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  • 13. Geometric deep learning methods and applications in 3D structure-based drug design.
    Bai Q, Xu T, Huang J, Pérez-Sánchez H.
    Drug Discov Today; 2024 Jul 07; 29(7):104024. PubMed ID: 38759948
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  • 14. A renaissance of neural networks in drug discovery.
    Baskin II, Winkler D, Tetko IV.
    Expert Opin Drug Discov; 2016 Aug 07; 11(8):785-95. PubMed ID: 27295548
    [Abstract] [Full Text] [Related]

  • 15. A Systematic Review of Deep Learning Methodologies Used in the Drug Discovery Process with Emphasis on In Vivo Validation.
    Koutroumpa NM, Papavasileiou KD, Papadiamantis AG, Melagraki G, Afantitis A.
    Int J Mol Sci; 2023 Mar 31; 24(7):. PubMed ID: 37047543
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  • 16. Generative machine learning for de novo drug discovery: A systematic review.
    Martinelli DD.
    Comput Biol Med; 2022 Jun 31; 145():105403. PubMed ID: 35339849
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  • 17. Recent Progress of Deep Learning in Drug Discovery.
    Wang F, Diao X, Chang S, Xu L.
    Curr Pharm Des; 2021 Jun 31; 27(17):2088-2096. PubMed ID: 33511933
    [Abstract] [Full Text] [Related]

  • 18. Reinforced Adversarial Neural Computer for de Novo Molecular Design.
    Putin E, Asadulaev A, Ivanenkov Y, Aladinskiy V, Sanchez-Lengeling B, Aspuru-Guzik A, Zhavoronkov A.
    J Chem Inf Model; 2018 Jun 25; 58(6):1194-1204. PubMed ID: 29762023
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  • 19. Deep learning for molecular generation.
    Xu Y, Lin K, Wang S, Wang L, Cai C, Song C, Lai L, Pei J.
    Future Med Chem; 2019 Mar 25; 11(6):567-597. PubMed ID: 30698019
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  • 20. De novo generation of dual-target ligands using adversarial training and reinforcement learning.
    Lu F, Li M, Min X, Li C, Zeng X.
    Brief Bioinform; 2021 Nov 05; 22(6):. PubMed ID: 34410338
    [Abstract] [Full Text] [Related]

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