BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

351 related articles for article (PubMed ID: 27813437)

  • 1. Comparative evaluation of 11 in silico models for the prediction of small molecule mutagenicity: role of steric hindrance and electron-withdrawing groups.
    Ford KA; Ryslik G; Chan BK; Lewin-Koh SC; Almeida D; Stokes M; Gomez SR
    Toxicol Mech Methods; 2017 Jan; 27(1):24-35. PubMed ID: 27813437
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessment of the sensitivity of the computational programs DEREK, TOPKAT, and MCASE in the prediction of the genotoxicity of pharmaceutical molecules.
    Snyder RD; Pearl GS; Mandakas G; Choy WN; Goodsaid F; Rosenblum IY
    Environ Mol Mutagen; 2004; 43(3):143-58. PubMed ID: 15065202
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A multiple in silico program approach for the prediction of mutagenicity from chemical structure.
    White AC; Mueller RA; Gallavan RH; Aaron S; Wilson AG
    Mutat Res; 2003 Aug; 539(1-2):77-89. PubMed ID: 12948816
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparative evaluation of in silico systems for ames test mutagenicity prediction: scope and limitations.
    Hillebrecht A; Muster W; Brigo A; Kansy M; Weiser T; Singer T
    Chem Res Toxicol; 2011 Jun; 24(6):843-54. PubMed ID: 21534561
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of the computer programs DEREK and TOPKAT to predict bacterial mutagenicity. Deductive Estimate of Risk from Existing Knowledge. Toxicity Prediction by Komputer Assisted Technology.
    Cariello NF; Wilson JD; Britt BH; Wedd DJ; Burlinson B; Gombar V
    Mutagenesis; 2002 Jul; 17(4):321-9. PubMed ID: 12110629
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Resolution of contradiction between in silico predictions and Ames test results for four pharmaceutically relevant impurities.
    Gunther WC; Kenyon MO; Cheung JR; Dugger RW; Dobo KL
    Regul Toxicol Pharmacol; 2017 Dec; 91():68-76. PubMed ID: 29061373
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mutagenicity assessment of two potential impurities in preparations of 5-amino-2,4,6 triiodoisophthalic acid, a key intermediate in the synthesis of the iodinated contrast agent iopamidol.
    Rossi S; Bussi S; Bonafè R; Incardona C; Vurro E; Visigalli M; Buonsanti F; Fretta R
    Mutat Res Genet Toxicol Environ Mutagen; 2024 Jan; 893():503720. PubMed ID: 38272634
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Utility of published DNA reactivity alerts.
    Myden A; Guesne SJ; Cayley A; Williams RV
    Regul Toxicol Pharmacol; 2017 Aug; 88():77-86. PubMed ID: 28549899
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of the structural requirements for mutagencitiy, by incorporating molecular flexibility and metabolic activation of chemicals. II. General Ames mutagenicity model.
    Serafimova R; Todorov M; Pavlov T; Kotov S; Jacob E; Aptula A; Mekenyan O
    Chem Res Toxicol; 2007 Apr; 20(4):662-76. PubMed ID: 17381132
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Carbamates and ICH M7 classification: Making use of expert knowledge.
    Hemingway R; Fowkes A; Williams RV
    Regul Toxicol Pharmacol; 2017 Jun; 86():392-401. PubMed ID: 28385577
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An evaluation of in-house and off-the-shelf in silico models: implications on guidance for mutagenicity assessment.
    Jolly R; Ahmed KB; Zwickl C; Watson I; Gombar V
    Regul Toxicol Pharmacol; 2015 Apr; 71(3):388-97. PubMed ID: 25656493
    [TBL] [Abstract][Full Text] [Related]  

  • 12. In silico model for mutagenicity (Ames test), taking into account metabolism.
    Vian M; Raitano G; Roncaglioni A; Benfenati E
    Mutagenesis; 2019 Mar; 34(1):41-48. PubMed ID: 30715441
    [TBL] [Abstract][Full Text] [Related]  

  • 13. In silico prediction of genotoxicity.
    Wichard JD
    Food Chem Toxicol; 2017 Aug; 106(Pt B):595-599. PubMed ID: 27979779
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Mutagenicity assessment strategy for pharmaceutical intermediates to aid limit setting for occupational exposure.
    Araya S; Lovsin-Barle E; Glowienke S
    Regul Toxicol Pharmacol; 2015 Nov; 73(2):515-20. PubMed ID: 26454093
    [TBL] [Abstract][Full Text] [Related]  

  • 15. In silico prediction of chromosome damage: comparison of three (Q)SAR models.
    Morita T; Shigeta Y; Kawamura T; Fujita Y; Honda H; Honma M
    Mutagenesis; 2019 Mar; 34(1):91-100. PubMed ID: 30085209
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Transformation of mutagenic aromatic amines into non-mutagenic species by alkyl substituents. Part II: alkylation far away from the amino function.
    Glende C; Klein M; Schmitt H; Erdinger L; Boche G
    Mutat Res; 2002 Mar; 515(1-2):15-38. PubMed ID: 11909752
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Benchmark data set for in silico prediction of Ames mutagenicity.
    Hansen K; Mika S; Schroeter T; Sutter A; ter Laak A; Steger-Hartmann T; Heinrich N; Müller KR
    J Chem Inf Model; 2009 Sep; 49(9):2077-81. PubMed ID: 19702240
    [TBL] [Abstract][Full Text] [Related]  

  • 18. In silico prediction of the mutagenicity of nitroaromatic compounds using a novel two-QSAR approach.
    Ding YL; Lyu YC; Leong MK
    Toxicol In Vitro; 2017 Apr; 40():102-114. PubMed ID: 28027902
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Use of in silico systems and expert knowledge for structure-based assessment of potentially mutagenic impurities.
    Sutter A; Amberg A; Boyer S; Brigo A; Contrera JF; Custer LL; Dobo KL; Gervais V; Glowienke S; van Gompel J; Greene N; Muster W; Nicolette J; Reddy MV; Thybaud V; Vock E; White AT; Müller L
    Regul Toxicol Pharmacol; 2013 Oct; 67(1):39-52. PubMed ID: 23669331
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiple Instance Learning Improves Ames Mutagenicity Prediction for Problematic Molecular Species.
    Feeney SV; Lui R; Guan D; Matthews S
    Chem Res Toxicol; 2023 Aug; 36(8):1227-1237. PubMed ID: 37477941
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.