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PUBMED FOR HANDHELDS

Journal Abstract Search


433 related items for PubMed ID: 29095571

  • 1. Generative Recurrent Networks for De Novo Drug Design.
    Gupta A, Müller AT, Huisman BJH, Fuchs JA, Schneider P, Schneider G.
    Mol Inform; 2018 Jan; 37(1-2):. PubMed ID: 29095571
    [Abstract] [Full Text] [Related]

  • 2. Generative machine learning for de novo drug discovery: A systematic review.
    Martinelli DD.
    Comput Biol Med; 2022 Jun; 145():105403. PubMed ID: 35339849
    [Abstract] [Full Text] [Related]

  • 3. Has Artificial Intelligence Impacted Drug Discovery?
    Patronov A, Papadopoulos K, Engkvist O.
    Methods Mol Biol; 2022 Jun; 2390():153-176. PubMed ID: 34731468
    [Abstract] [Full Text] [Related]

  • 4. Improving Chemical Autoencoder Latent Space and Molecular De Novo Generation Diversity with Heteroencoders.
    Bjerrum EJ, Sattarov B.
    Biomolecules; 2018 Oct 30; 8(4):. PubMed ID: 30380783
    [Abstract] [Full Text] [Related]

  • 5. 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 30; 17(10):1071-1079. PubMed ID: 36216812
    [Abstract] [Full Text] [Related]

  • 6. Generating and screening de novo compounds against given targets using ultrafast deep learning models as core components.
    Zhang H, Saravanan KM, Yang Y, Wei Y, Yi P, Zhang JZH.
    Brief Bioinform; 2022 Jul 18; 23(4):. PubMed ID: 35724626
    [Abstract] [Full Text] [Related]

  • 7. De novo Molecular Design with Generative Long Short-term Memory.
    Grisoni F, Schneider G.
    Chimia (Aarau); 2019 Dec 18; 73(12):1006-1011. PubMed ID: 31883552
    [Abstract] [Full Text] [Related]

  • 8. De Novo Design of Bioactive Small Molecules by Artificial Intelligence.
    Merk D, Friedrich L, Grisoni F, Schneider G.
    Mol Inform; 2018 Jan 18; 37(1-2):. PubMed ID: 29319225
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. Graph-based generative models for de Novo drug design.
    Xia X, Hu J, Wang Y, Zhang L, Liu Z.
    Drug Discov Today Technol; 2019 Dec 04; 32-33():45-53. PubMed ID: 33386094
    [Abstract] [Full Text] [Related]

  • 11. Memory augmented recurrent neural networks for de-novo drug design.
    Suresh N, Chinnakonda Ashok Kumar N, Subramanian S, Srinivasa G.
    PLoS One; 2022 Dec 04; 17(6):e0269461. PubMed ID: 35737661
    [Abstract] [Full Text] [Related]

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  • 13. 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
    [Abstract] [Full Text] [Related]

  • 14. De Novo Peptide and Protein Design Using Generative Adversarial Networks: An Update.
    Lin E, Lin CH, Lane HY.
    J Chem Inf Model; 2022 Feb 28; 62(4):761-774. PubMed ID: 35128926
    [Abstract] [Full Text] [Related]

  • 15. Artificial Intelligent Deep Learning Molecular Generative Modeling of Scaffold-Focused and Cannabinoid CB2 Target-Specific Small-Molecule Sublibraries.
    Bian Y, Xie XQ.
    Cells; 2022 Mar 07; 11(5):. PubMed ID: 35269537
    [Abstract] [Full Text] [Related]

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  • 17. Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES.
    Bjerrum EJ, Margreitter C, Blaschke T, Kolarova S, de Castro RL.
    J Comput Aided Mol Des; 2023 Aug 07; 37(8):373-394. PubMed ID: 37329395
    [Abstract] [Full Text] [Related]

  • 18. 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
    [Abstract] [Full Text] [Related]

  • 19. DNMG: Deep molecular generative model by fusion of 3D information for de novo drug design.
    Song T, Ren Y, Wang S, Han P, Wang L, Li X, Rodriguez-Patón A.
    Methods; 2023 Mar 07; 211():10-22. PubMed ID: 36764588
    [Abstract] [Full Text] [Related]

  • 20. Bidirectional Molecule Generation with Recurrent Neural Networks.
    Grisoni F, Moret M, Lingwood R, Schneider G.
    J Chem Inf Model; 2020 Mar 23; 60(3):1175-1183. PubMed ID: 31904964
    [Abstract] [Full Text] [Related]


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