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 *

188 related articles for article (PubMed ID: 34831315)

  • 1. Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features.
    Dang LH; Dung NT; Quang LX; Hung LQ; Le NH; Le NTN; Diem NT; Nga NTT; Hung SH; Le NQK
    Cells; 2021 Nov; 10(11):. PubMed ID: 34831315
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties.
    Cheng F; Zhao Z
    J Am Med Inform Assoc; 2014 Oct; 21(e2):e278-86. PubMed ID: 24644270
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An AI-based Prediction Model for Drug-drug Interactions in Osteoporosis and Paget's Diseases from SMILES.
    Hung TNK; Le NQK; Le NH; Van Tuan L; Nguyen TP; Thi C; Kang JH
    Mol Inform; 2022 Jun; 41(6):e2100264. PubMed ID: 34989149
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SubGE-DDI: A new prediction model for drug-drug interaction established through biomedical texts and drug-pairs knowledge subgraph enhancement.
    Shi Y; He M; Chen J; Han F; Cai Y
    PLoS Comput Biol; 2024 Apr; 20(4):e1011989. PubMed ID: 38626249
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel integrated action crossing method for drug-drug interaction prediction in non-communicable diseases.
    Hunta S; Yooyativong T; Aunsri N
    Comput Methods Programs Biomed; 2018 Sep; 163():183-193. PubMed ID: 30119852
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Similarity-based machine learning support vector machine predictor of drug-drug interactions with improved accuracies.
    Song D; Chen Y; Min Q; Sun Q; Ye K; Zhou C; Yuan S; Sun Z; Liao J
    J Clin Pharm Ther; 2019 Apr; 44(2):268-275. PubMed ID: 30565313
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning.
    Kastrin A; Ferk P; Leskošek B
    PLoS One; 2018; 13(5):e0196865. PubMed ID: 29738537
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multimodal CNN-DDI: using multimodal CNN for drug to drug interaction associated events.
    Asfand-E-Yar M; Hashir Q; Shah AA; Malik HAM; Alourani A; Khalil W
    Sci Rep; 2024 Feb; 14(1):4076. PubMed ID: 38374325
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes.
    Hameed PN; Verspoor K; Kusljic S; Halgamuge S
    BMC Bioinformatics; 2017 Mar; 18(1):140. PubMed ID: 28249566
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning to predict metabolic drug interactions related to cytochrome P450 isozymes.
    Wang NN; Wang XG; Xiong GL; Yang ZY; Lu AP; Chen X; Liu S; Hou TJ; Cao DS
    J Cheminform; 2022 Apr; 14(1):23. PubMed ID: 35428354
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A multimodal deep learning framework for predicting drug-drug interaction events.
    Deng Y; Xu X; Qiu Y; Xia J; Zhang W; Liu S
    Bioinformatics; 2020 Aug; 36(15):4316-4322. PubMed ID: 32407508
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting drug-drug interactions by graph convolutional network with multi-kernel.
    Wang F; Lei X; Liao B; Wu FX
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34864856
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches.
    Wu Z; Lei T; Shen C; Wang Z; Cao D; Hou T
    J Chem Inf Model; 2019 Nov; 59(11):4587-4601. PubMed ID: 31644282
    [TBL] [Abstract][Full Text] [Related]  

  • 14. QSAR Modeling and Prediction of Drug-Drug Interactions.
    Zakharov AV; Varlamova EV; Lagunin AA; Dmitriev AV; Muratov EN; Fourches D; Kuz'min VE; Poroikov VV; Tropsha A; Nicklaus MC
    Mol Pharm; 2016 Feb; 13(2):545-56. PubMed ID: 26669717
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis and prediction of drug-drug interaction by minimum redundancy maximum relevance and incremental feature selection.
    Liu L; Chen L; Zhang YH; Wei L; Cheng S; Kong X; Zheng M; Huang T; Cai YD
    J Biomol Struct Dyn; 2017 Feb; 35(2):312-329. PubMed ID: 26750516
    [TBL] [Abstract][Full Text] [Related]  

  • 16. TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs.
    Shi JY; Huang H; Li JX; Lei P; Zhang YN; Dong K; Yiu SM
    BMC Bioinformatics; 2018 Nov; 19(Suppl 14):411. PubMed ID: 30453924
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs.
    Liu M; Wu Y; Chen Y; Sun J; Zhao Z; Chen XW; Matheny ME; Xu H
    J Am Med Inform Assoc; 2012 Jun; 19(e1):e28-35. PubMed ID: 22718037
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Leveraging genetic interactions for adverse drug-drug interaction prediction.
    Qian S; Liang S; Yu H
    PLoS Comput Biol; 2019 May; 15(5):e1007068. PubMed ID: 31125330
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fetal health status prediction based on maternal clinical history using machine learning techniques.
    Akbulut A; Ertugrul E; Topcu V
    Comput Methods Programs Biomed; 2018 Sep; 163():87-100. PubMed ID: 30119860
    [TBL] [Abstract][Full Text] [Related]  

  • 20. In silico prediction of chemical-induced hematotoxicity with machine learning and deep learning methods.
    Hua Y; Shi Y; Cui X; Li X
    Mol Divers; 2021 Aug; 25(3):1585-1596. PubMed ID: 34196933
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.