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Journal Abstract Search

147 related items for PubMed ID: 38968091

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  • 6. 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 18; 23(4):. PubMed ID: 35709752
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  • 8. 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 10; 332():88-96. PubMed ID: 32629073
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  • 9. 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 10; 43(10):1462-1475. PubMed ID: 37093028
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  • 10. 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 20; 24(6):934-49. PubMed ID: 21504223
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  • 11. The Catch-22 of Predicting hERG Blockade Using Publicly Accessible Bioactivity Data.
    Siramshetty VB, Chen Q, Devarakonda P, Preissner R.
    J Chem Inf Model; 2018 Jun 25; 58(6):1224-1233. PubMed ID: 29772901
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  • 14. DeepHIT: a deep learning framework for prediction of hERG-induced cardiotoxicity.
    Ryu JY, Lee MY, Lee JH, Lee BH, Oh KS.
    Bioinformatics; 2020 May 01; 36(10):3049-3055. PubMed ID: 32022860
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  • 15. Enhancing hERG Risk Assessment with Interpretable Classificatory and Regression Models.
    Sanches IH, Braga RC, Alves VM, Andrade CH.
    Chem Res Toxicol; 2024 Jun 17; 37(6):910-922. PubMed ID: 38781421
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  • 16. A critical assessment of combined ligand- and structure-based approaches to HERG channel blocker modeling.
    Du-Cuny L, Chen L, Zhang S.
    J Chem Inf Model; 2011 Nov 28; 51(11):2948-60. PubMed ID: 21902220
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  • 17. HergSPred: Accurate Classification of hERG Blockers/Nonblockers with Machine-Learning Models.
    Zhang X, Mao J, Wei M, Qi Y, Zhang JZH.
    J Chem Inf Model; 2022 Apr 25; 62(8):1830-1839. PubMed ID: 35404051
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  • 19. Open-Access Activity Prediction Tools for Natural Products. Case Study: hERG Blockers.
    Mayr F, Vieider C, Temml V, Stuppner H, Schuster D.
    Prog Chem Org Nat Prod; 2019 Apr 25; 110():177-238. PubMed ID: 31621014
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