178 related articles for article (PubMed ID: 31006880)
1. In silico prediction of drug-induced rhabdomyolysis with machine-learning models and structural alerts.
Cui X; Liu J; Zhang J; Wu Q; Li X
J Appl Toxicol; 2019 Aug; 39(8):1224-1232. PubMed ID: 31006880
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Quantitative Structure-Activity Relationship (QSAR) Model for the Severity Prediction of Drug-Induced Rhabdomyolysis by Using Random Forest.
Zhou Y; Li S; Zhao Y; Guo M; Liu Y; Li M; Wen Z
Chem Res Toxicol; 2021 Feb; 34(2):514-521. PubMed ID: 33393765
[TBL] [Abstract][Full Text] [Related]
4. In silico prediction of rhabdomyolysis of compounds by self-organizing map and support vector machine.
Hu X; Yan A
Toxicol In Vitro; 2011 Dec; 25(8):2017-24. PubMed ID: 21856410
[TBL] [Abstract][Full Text] [Related]
5. In Silico Prediction and Insights Into the Structural Basis of Drug Induced Nephrotoxicity.
Shi Y; Hua Y; Wang B; Zhang R; Li X
Front Pharmacol; 2021; 12():793332. PubMed ID: 35082675
[TBL] [Abstract][Full Text] [Related]
6. In silico prediction of drug-induced ototoxicity using machine learning and deep learning methods.
Huang X; Tang F; Hua Y; Li X
Chem Biol Drug Des; 2021 Aug; 98(2):248-257. PubMed ID: 34013639
[TBL] [Abstract][Full Text] [Related]
7. The current limits in virtual screening and property prediction.
Hutter MC
Future Med Chem; 2018 Jul; 10(13):1623-1635. PubMed ID: 29953247
[TBL] [Abstract][Full Text] [Related]
8. ToxAlerts: a Web server of structural alerts for toxic chemicals and compounds with potential adverse reactions.
Sushko I; Salmina E; Potemkin VA; Poda G; Tetko IV
J Chem Inf Model; 2012 Aug; 52(8):2310-6. PubMed ID: 22876798
[TBL] [Abstract][Full Text] [Related]
9. Creating the New from the Old: Combinatorial Libraries Generation with Machine-Learning-Based Compound Structure Optimization.
Podlewska S; Czarnecki WM; Kafel R; Bojarski AJ
J Chem Inf Model; 2017 Feb; 57(2):133-147. PubMed ID: 28158942
[TBL] [Abstract][Full Text] [Related]
10. Modeling of the hERG K+ Channel Blockage Using Online Chemical Database and Modeling Environment (OCHEM).
Li X; Zhang Y; Li H; Zhao Y
Mol Inform; 2017 Dec; 36(12):. PubMed ID: 28857516
[TBL] [Abstract][Full Text] [Related]
11. Advances in Predictions of Oral Bioavailability of Candidate Drugs in Man with New Machine Learning Methodology.
Fagerholm U; Hellberg S; Spjuth O
Molecules; 2021 Apr; 26(9):. PubMed ID: 33925103
[TBL] [Abstract][Full Text] [Related]
12. In Silico Prediction of Compounds Binding to Human Plasma Proteins by QSAR Models.
Sun L; Yang H; Li J; Wang T; Li W; Liu G; Tang Y
ChemMedChem; 2018 Mar; 13(6):572-581. PubMed ID: 29057587
[TBL] [Abstract][Full Text] [Related]
13. Hit Dexter 2.0: Machine-Learning Models for the Prediction of Frequent Hitters.
Stork C; Chen Y; Šícho M; Kirchmair J
J Chem Inf Model; 2019 Mar; 59(3):1030-1043. PubMed ID: 30624935
[TBL] [Abstract][Full Text] [Related]
14. Using Machine Learning Methods and Structural Alerts for Prediction of Mitochondrial Toxicity.
Hemmerich J; Troger F; Füzi B; F Ecker G
Mol Inform; 2020 May; 39(5):e2000005. PubMed ID: 32108997
[TBL] [Abstract][Full Text] [Related]
15. Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools.
Tao L; Zhang P; Qin C; Chen SY; Zhang C; Chen Z; Zhu F; Yang SY; Wei YQ; Chen YZ
Adv Drug Deliv Rev; 2015 Jun; 86():83-100. PubMed ID: 26037068
[TBL] [Abstract][Full Text] [Related]
16. Bayesian molecular design with a chemical language model.
Ikebata H; Hongo K; Isomura T; Maezono R; Yoshida R
J Comput Aided Mol Des; 2017 Apr; 31(4):379-391. PubMed ID: 28281211
[TBL] [Abstract][Full Text] [Related]
17. Toxicity prediction of small drug molecules of androgen receptor using multilevel ensemble model.
Gupta VK; Rana PS
J Bioinform Comput Biol; 2019 Oct; 17(5):1950033. PubMed ID: 31744364
[TBL] [Abstract][Full Text] [Related]
18. Toward efficient generation, correction, and properties control of unique drug-like structures.
Druchok M; Yarish D; Gurbych O; Maksymenko M
J Comput Chem; 2021 Apr; 42(11):746-760. PubMed ID: 33583075
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning-Based Modeling of Drug Toxicity.
Lu J; Lu D; Fu Z; Zheng M; Luo X
Methods Mol Biol; 2018; 1754():247-264. PubMed ID: 29536448
[TBL] [Abstract][Full Text] [Related]
20. In Silico Prediction of Chemical Toxicity Profile Using Local Lazy Learning.
Lu J; Zhang P; Zou XW; Zhao XQ; Cheng KG; Zhao YL; Bi Y; Zheng MY; Luo XM
Comb Chem High Throughput Screen; 2017; 20(4):346-353. PubMed ID: 28215144
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
