174 related articles for article (PubMed ID: 31394026)
1. Prediction of hERG K+ channel blockage using deep neural networks.
Zhang Y; Zhao J; Wang Y; Fan Y; Zhu L; Yang Y; Chen X; Lu T; Chen Y; Liu H
Chem Biol Drug Des; 2019 Sep; 94(5):1973-1985. PubMed ID: 31394026
[TBL] [Abstract][Full Text] [Related]
2. A comprehensive support vector machine binary hERG classification model based on extensive but biased end point hERG data sets.
Shen MY; Su BH; Esposito EX; Hopfinger AJ; Tseng YJ
Chem Res Toxicol; 2011 Jun; 24(6):934-49. PubMed ID: 21504223
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Similarity-based SIBAR descriptors for classification of chemically diverse hERG blockers.
Thai KM; Ecker GF
Mol Divers; 2009 Aug; 13(3):321-36. PubMed ID: 19219559
[TBL] [Abstract][Full Text] [Related]
5. The Study on the hERG Blocker Prediction Using Chemical Fingerprint Analysis.
Choi KE; Balupuri A; Kang NS
Molecules; 2020 Jun; 25(11):. PubMed ID: 32512802
[TBL] [Abstract][Full Text] [Related]
6. ADMET evaluation in drug discovery. 12. Development of binary classification models for prediction of hERG potassium channel blockage.
Wang S; Li Y; Wang J; Chen L; Zhang L; Yu H; Hou T
Mol Pharm; 2012 Apr; 9(4):996-1010. PubMed ID: 22380484
[TBL] [Abstract][Full Text] [Related]
7. Classification models for HERG inhibitors by counter-propagation neural networks.
Thai KM; Ecker GF
Chem Biol Drug Des; 2008 Oct; 72(4):279-89. PubMed ID: 18844674
[TBL] [Abstract][Full Text] [Related]
8. In silico prediction of the chemical block of human ether-a-go-go-related gene (hERG) K+ current.
Inanobe A; Kamiya N; Murakami S; Fukunishi Y; Nakamura H; Kurachi Y
J Physiol Sci; 2008 Dec; 58(7):459-70. PubMed ID: 19032804
[TBL] [Abstract][Full Text] [Related]
9. A QSAR model of HERG binding using a large, diverse, and internally consistent training set.
Seierstad M; Agrafiotis DK
Chem Biol Drug Des; 2006 Apr; 67(4):284-96. PubMed ID: 16629826
[TBL] [Abstract][Full Text] [Related]
10. Predictive models for HERG channel blockers: ligand-based and structure-based approaches.
Thai KM; Ecker GF
Curr Med Chem; 2007; 14(28):3003-26. PubMed ID: 18220737
[TBL] [Abstract][Full Text] [Related]
11. Recent developments in computational prediction of HERG blockage.
Wang S; Li Y; Xu L; Li D; Hou T
Curr Top Med Chem; 2013; 13(11):1317-26. PubMed ID: 23675938
[TBL] [Abstract][Full Text] [Related]
12. In silico prediction of hERG blockers using machine learning and deep learning approaches.
Chen Y; Yu X; Li W; Tang Y; Liu G
J Appl Toxicol; 2023 Oct; 43(10):1462-1475. PubMed ID: 37093028
[TBL] [Abstract][Full Text] [Related]
13. General Purpose 2D and 3D Similarity Approach to Identify hERG Blockers.
Schyman P; Liu R; Wallqvist A
J Chem Inf Model; 2016 Jan; 56(1):213-22. PubMed ID: 26718126
[TBL] [Abstract][Full Text] [Related]
14. Machine-learning technique, QSAR and molecular dynamics for hERG-drug interactions.
Das NR; Sharma T; Toropov AA; Toropova AP; Tripathi MK; Achary PGR
J Biomol Struct Dyn; 2023; 41(23):13766-13791. PubMed ID: 37021352
[TBL] [Abstract][Full Text] [Related]
15. hERG classification model based on a combination of support vector machine method and GRIND descriptors.
Li Q; Jørgensen FS; Oprea T; Brunak S; Taboureau O
Mol Pharm; 2008; 5(1):117-27. PubMed ID: 18197627
[TBL] [Abstract][Full Text] [Related]
16. ADMET Evaluation in Drug Discovery. 16. Predicting hERG Blockers by Combining Multiple Pharmacophores and Machine Learning Approaches.
Wang S; Sun H; Liu H; Li D; Li Y; Hou T
Mol Pharm; 2016 Aug; 13(8):2855-66. PubMed ID: 27379394
[TBL] [Abstract][Full Text] [Related]
17. A binary QSAR model for classification of hERG potassium channel blockers.
Thai KM; Ecker GF
Bioorg Med Chem; 2008 Apr; 16(7):4107-19. PubMed ID: 18243713
[TBL] [Abstract][Full Text] [Related]
18. Prediction of hERG potassium channel blockage using ensemble learning methods and molecular fingerprints.
Liu M; Zhang L; Li S; Yang T; Liu L; Zhao J; Liu H
Toxicol Lett; 2020 Oct; 332():88-96. PubMed ID: 32629073
[TBL] [Abstract][Full Text] [Related]
19. BayeshERG: a robust, reliable and interpretable deep learning model for predicting hERG channel blockers.
Kim H; Park M; Lee I; Nam H
Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35709752
[TBL] [Abstract][Full Text] [Related]
20. Indexing molecules for their hERG liability.
Rayan A; Falah M; Raiyn J; Da'adoosh B; Kadan S; Zaid H; Goldblum A
Eur J Med Chem; 2013 Jul; 65():304-14. PubMed ID: 23727540
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
