These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
239 related articles for article (PubMed ID: 29995272)
41. De novo molecular design with deep molecular generative models for PPI inhibitors. Wang J; Chu Y; Mao J; Jeon HN; Jin H; Zeb A; Jang Y; Cho KH; Song T; No KT Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35830870 [TBL] [Abstract][Full Text] [Related]
42. RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design. Wang M; Hsieh CY; Wang J; Wang D; Weng G; Shen C; Yao X; Bing Z; Li H; Cao D; Hou T J Med Chem; 2022 Jul; 65(13):9478-9492. PubMed ID: 35713420 [TBL] [Abstract][Full Text] [Related]
43. Generative Adversarial Networks for De Novo Molecular Design. Lee YJ; Kahng H; Kim SB Mol Inform; 2021 Oct; 40(10):e2100045. PubMed ID: 34622551 [TBL] [Abstract][Full Text] [Related]
44. Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning. Koge D; Ono N; Huang M; Altaf-Ul-Amin M; Kanaya S Mol Inform; 2021 Feb; 40(2):e2000203. PubMed ID: 33164295 [TBL] [Abstract][Full Text] [Related]
45. Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder. Li C; Yao J; Wei W; Niu Z; Zeng X; Li J; Wang J IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):4852-4861. PubMed ID: 35171779 [TBL] [Abstract][Full Text] [Related]
46. ScaffoldGVAE: scaffold generation and hopping of drug molecules via a variational autoencoder based on multi-view graph neural networks. Hu C; Li S; Yang C; Chen J; Xiong Y; Fan G; Liu H; Hong L J Cheminform; 2023 Oct; 15(1):91. PubMed ID: 37794460 [TBL] [Abstract][Full Text] [Related]
47. De Novo Molecular Design by Combining Deep Autoencoder Recurrent Neural Networks with Generative Topographic Mapping. Sattarov B; Baskin II; Horvath D; Marcou G; Bjerrum EJ; Varnek A J Chem Inf Model; 2019 Mar; 59(3):1182-1196. PubMed ID: 30785751 [TBL] [Abstract][Full Text] [Related]
48. Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery. Polykovskiy D; Zhebrak A; Vetrov D; Ivanenkov Y; Aladinskiy V; Mamoshina P; Bozdaganyan M; Aliper A; Zhavoronkov A; Kadurin A Mol Pharm; 2018 Oct; 15(10):4398-4405. PubMed ID: 30180591 [TBL] [Abstract][Full Text] [Related]
49. Accelerating the discovery of anticancer peptides targeting lung and breast cancers with the Wasserstein autoencoder model and PSO algorithm. Yang L; Yang G; Bing Z; Tian Y; Huang L; Niu Y; Yang L Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35945135 [TBL] [Abstract][Full Text] [Related]
50. Tan Z; Li Y; Wu X; Zhang Z; Shi W; Yang S; Zhang W RSC Adv; 2023 Jan; 13(2):1031-1040. PubMed ID: 36686951 [TBL] [Abstract][Full Text] [Related]
51. De Novo Direct Inverse QSPR/QSAR: Chemical Variational Autoencoder and Gaussian Mixture Regression Models. Nemoto K; Kaneko H J Chem Inf Model; 2023 Feb; 63(3):794-805. PubMed ID: 36635071 [TBL] [Abstract][Full Text] [Related]
53. Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT). Khanam S; Ahmedy I; Idris MYI; Jaward MH Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957379 [TBL] [Abstract][Full Text] [Related]
54. Generative Models for De Novo Drug Design. Tong X; Liu X; Tan X; Li X; Jiang J; Xiong Z; Xu T; Jiang H; Qiao N; Zheng M J Med Chem; 2021 Oct; 64(19):14011-14027. PubMed ID: 34533311 [TBL] [Abstract][Full Text] [Related]
55. Multi-Objective Drug Design Based on Graph-Fragment Molecular Representation and Deep Evolutionary Learning. Mukaidaisi M; Vu A; Grantham K; Tchagang A; Li Y Front Pharmacol; 2022; 13():920747. PubMed ID: 35860028 [TBL] [Abstract][Full Text] [Related]
56. MagGen: A Graph-Aided Deep Generative Model for Inverse Design of Permanent Magnets. Mal S; Seal G; Sen P J Phys Chem Lett; 2024 Mar; 15(12):3221-3228. PubMed ID: 38484323 [TBL] [Abstract][Full Text] [Related]
57. De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data with DeepLinc. Li R; Yang X Genome Biol; 2022 Jun; 23(1):124. PubMed ID: 35659722 [TBL] [Abstract][Full Text] [Related]
58. Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation. Kwon Y; Yoo J; Choi YS; Son WJ; Lee D; Kang S J Cheminform; 2019 Nov; 11(1):70. PubMed ID: 33430985 [TBL] [Abstract][Full Text] [Related]
59. Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data. Kim G; Chun H BMC Bioinformatics; 2023 Nov; 24(1):432. PubMed ID: 37964243 [TBL] [Abstract][Full Text] [Related]
60. Advances and Challenges in De Novo Drug Design Using Three-Dimensional Deep Generative Models. Xie W; Wang F; Li Y; Lai L; Pei J J Chem Inf Model; 2022 May; 62(10):2269-2279. PubMed ID: 35544331 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]