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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

105 related articles for article (PubMed ID: 38687366)

  • 1. SDDSynergy: Learning Important Molecular Substructures for Explainable Anticancer Drug Synergy Prediction.
    Liu Y; Zhang P; Che C; Wei Z
    J Chem Inf Model; 2024 Apr; ():. PubMed ID: 38687366
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Learning size-adaptive molecular substructures for explainable drug-drug interaction prediction by substructure-aware graph neural network.
    Yang Z; Zhong W; Lv Q; Yu-Chian Chen C
    Chem Sci; 2022 Jul; 13(29):8693-8703. PubMed ID: 35974769
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MGAE-DC: Predicting the synergistic effects of drug combinations through multi-channel graph autoencoders.
    Zhang P; Tu S
    PLoS Comput Biol; 2023 Mar; 19(3):e1010951. PubMed ID: 36867661
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A dual graph neural network for drug-drug interactions prediction based on molecular structure and interactions.
    Ma M; Lei X
    PLoS Comput Biol; 2023 Jan; 19(1):e1010812. PubMed ID: 36701288
    [TBL] [Abstract][Full Text] [Related]  

  • 5. In silico drug combination discovery for personalized cancer therapy.
    Jeon M; Kim S; Park S; Lee H; Kang J
    BMC Syst Biol; 2018 Mar; 12(Suppl 2):16. PubMed ID: 29560824
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction.
    Liu X; Song C; Liu S; Li M; Zhou X; Zhang W
    Bioinformatics; 2022 Oct; 38(20):4782-4789. PubMed ID: 36000898
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MFSynDCP: multi-source feature collaborative interactive learning for drug combination synergy prediction.
    Dong Y; Chang Y; Wang Y; Han Q; Wen X; Yang Z; Zhang Y; Qiang Y; Wu K; Fan X; Ren X
    BMC Bioinformatics; 2024 Apr; 25(1):140. PubMed ID: 38561679
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting anticancer synergistic drug combinations based on multi-task learning.
    Chen D; Wang X; Zhu H; Jiang Y; Li Y; Liu Q; Liu Q
    BMC Bioinformatics; 2023 Nov; 24(1):448. PubMed ID: 38012551
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MASMDDI: multi-layer adaptive soft-mask graph neural network for drug-drug interaction prediction.
    Lin J; Hong B; Cai Z; Lu P; Lin K
    Front Pharmacol; 2024; 15():1369403. PubMed ID: 38831885
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Drug-drug interaction prediction with learnable size-adaptive molecular substructures.
    Nyamabo AK; Yu H; Liu Z; Shi JY
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34695842
    [TBL] [Abstract][Full Text] [Related]  

  • 11. SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction.
    Nyamabo AK; Yu H; Shi JY
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33951725
    [TBL] [Abstract][Full Text] [Related]  

  • 12. GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction.
    Yang J; Xu Z; Wu WKK; Chu Q; Zhang Q
    J Am Med Inform Assoc; 2021 Oct; 28(11):2336-2345. PubMed ID: 34472609
    [TBL] [Abstract][Full Text] [Related]  

  • 13. STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug-Drug Interactions.
    Yu H; Zhao S; Shi J
    Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35667078
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DEML: Drug Synergy and Interaction Prediction Using Ensemble-Based Multi-Task Learning.
    Wang Z; Dong J; Wu L; Dai C; Wang J; Wen Y; Zhang Y; Yang X; He S; Bo X
    Molecules; 2023 Jan; 28(2):. PubMed ID: 36677903
    [TBL] [Abstract][Full Text] [Related]  

  • 15. SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug-drug interaction prediction.
    Zhu J; Che C; Jiang H; Xu J; Yin J; Zhong Z
    BMC Bioinformatics; 2024 Jan; 25(1):39. PubMed ID: 38262923
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting Drug-drug Interaction with Graph Mutual Interaction Attention Mechanism.
    Yan X; Gu C; Feng Y; Han J
    Methods; 2024 Mar; 223():16-25. PubMed ID: 38262485
    [TBL] [Abstract][Full Text] [Related]  

  • 17. KGANSynergy: knowledge graph attention network for drug synergy prediction.
    Zhang G; Gao Z; Yan C; Wang J; Liang W; Luo J; Luo H
    Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37130580
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A complete graph-based approach with multi-task learning for predicting synergistic drug combinations.
    Wang X; Zhu H; Chen D; Yu Y; Liu Q; Liu Q
    Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37261842
    [TBL] [Abstract][Full Text] [Related]  

  • 19. DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations.
    Wang J; Liu X; Shen S; Deng L; Liu H
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34571537
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computational Prediction of Drug Phenotypic Effects Based on Substructure-Phenotype Associations.
    Yang J; Zhang D; Cai Y; Yu K; Li M; Liu L; Chen X
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):256-265. PubMed ID: 35239490
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.