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 *

215 related articles for article (PubMed ID: 20220749)

  • 1. Prediction of adverse drug reactions using decision tree modeling.
    Hammann F; Gutmann H; Vogt N; Helma C; Drewe J
    Clin Pharmacol Ther; 2010 Jul; 88(1):52-9. PubMed ID: 20220749
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Analysis of pharmacology data and the prediction of adverse drug reactions and off-target effects from chemical structure.
    Bender A; Scheiber J; Glick M; Davies JW; Azzaoui K; Hamon J; Urban L; Whitebread S; Jenkins JL
    ChemMedChem; 2007 Jun; 2(6):861-73. PubMed ID: 17477341
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).
    Minerali E; Foil DH; Zorn KM; Lane TR; Ekins S
    Mol Pharm; 2020 Jul; 17(7):2628-2637. PubMed ID: 32422053
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fast Identification of Adverse Drug Reactions (ADRs) of Digestive and Nervous Systems of Organic Drugs by In Silico Models.
    Chen M; Yang Z; Gao Y; Li C
    Molecules; 2021 Feb; 26(4):. PubMed ID: 33578679
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of organ toxicity endpoints by QSAR modeling based on precise chemical-histopathology annotations.
    Myshkin E; Brennan R; Khasanova T; Sitnik T; Serebriyskaya T; Litvinova E; Guryanov A; Nikolsky Y; Nikolskaya T; Bureeva S
    Chem Biol Drug Des; 2012 Sep; 80(3):406-16. PubMed ID: 22583392
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds.
    Sakatis MZ; Reese MJ; Harrell AW; Taylor MA; Baines IA; Chen L; Bloomer JC; Yang EY; Ellens HM; Ambroso JL; Lovatt CA; Ayrton AD; Clarke SE
    Chem Res Toxicol; 2012 Oct; 25(10):2067-82. PubMed ID: 22931300
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An expert system approach to the assessment of hepatotoxic potential.
    Marchant CA; Fisk L; Note RR; Patel ML; Suárez D
    Chem Biodivers; 2009 Nov; 6(11):2107-14. PubMed ID: 19937847
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning for virtual screening (part 1).
    Ivanciuc O
    Comb Chem High Throughput Screen; 2009 May; 12(4):330-1. PubMed ID: 19442062
    [No Abstract]   [Full Text] [Related]  

  • 9. pKa prediction of monoprotic small molecules the SMARTS way.
    Lee AC; Yu JY; Crippen GM
    J Chem Inf Model; 2008 Oct; 48(10):2042-53. PubMed ID: 18826209
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs.
    Chen M; Hong H; Fang H; Kelly R; Zhou G; Borlak J; Tong W
    Toxicol Sci; 2013 Nov; 136(1):242-9. PubMed ID: 23997115
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predictive modeling of structured electronic health records for adverse drug event detection.
    Zhao J; Henriksson A; Asker L; Boström H
    BMC Med Inform Decis Mak; 2015; 15 Suppl 4(Suppl 4):S1. PubMed ID: 26606038
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computational models for the prediction of adverse cardiovascular drug reactions.
    Jamal S; Ali W; Nagpal P; Grover S; Grover A
    J Transl Med; 2019 May; 17(1):171. PubMed ID: 31118067
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part C: use of QSAR and an expert system for the estimation of the mechanism of action of drug-induced hepatobiliary and urinary tract toxicities.
    Matthews EJ; Kruhlak NL; Benz RD; Aragonés Sabaté D; Marchant CA; Contrera JF
    Regul Toxicol Pharmacol; 2009 Jun; 54(1):43-65. PubMed ID: 19422100
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A compound attributes-based predictive model for drug induced liver injury in humans.
    Liu Y; Gao H; He YD
    PLoS One; 2020; 15(4):e0231252. PubMed ID: 32294131
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Toxicity of drugs in chronic use].
    Waser PG
    Bibl Tuberc; 1969; 25():50-6. PubMed ID: 5344371
    [No Abstract]   [Full Text] [Related]  

  • 17. Advances in machine learning prediction of toxicological properties and adverse drug reactions of pharmaceutical agents.
    Ma XH; Wang R; Xue Y; Li ZR; Yang SY; Wei YQ; Chen YZ
    Curr Drug Saf; 2008 May; 3(2):100-14. PubMed ID: 18690988
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Dealing with adverse drug reactions in dentistry. Procedures on encountering adverse drug reactions and goal of the Swiss Pharmacovigilance system].
    Egger SS; Krähenbühl S; Schlienger RG
    Schweiz Monatsschr Zahnmed; 2005; 115(12):1209-18. PubMed ID: 16408825
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting adverse drug reactions using publicly available PubChem BioAssay data.
    Pouliot Y; Chiang AP; Butte AJ
    Clin Pharmacol Ther; 2011 Jul; 90(1):90-9. PubMed ID: 21613989
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Grouping pharmacovigilance terms with semantic distance.
    Dupuch M; Lerch M; Jamet A; Jaulent MC; Fescharek R; Grabar N
    Stud Health Technol Inform; 2011; 169():794-8. PubMed ID: 21893856
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.