189 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]
