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 *

282 related articles for article (PubMed ID: 28316646)

  • 1. An ensemble model of QSAR tools for regulatory risk assessment.
    Pradeep P; Povinelli RJ; White S; Merrill SJ
    J Cheminform; 2016; 8():48. PubMed ID: 28316646
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling.
    Valerio LG; Arvidson KB; Chanderbhan RF; Contrera JF
    Toxicol Appl Pharmacol; 2007 Jul; 222(1):1-16. PubMed ID: 17482223
    [TBL] [Abstract][Full Text] [Related]  

  • 3. In Silico Study of In Vitro GPCR Assays by QSAR Modeling.
    Mansouri K; Judson RS
    Methods Mol Biol; 2016; 1425():361-81. PubMed ID: 27311474
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring the QSAR's predictive truthfulness of the novel N-tuple discrete derivative indices on benchmark datasets.
    Martínez-Santiago O; Marrero-Ponce Y; Vivas-Reyes R; Rivera-Borroto OM; Hurtado E; Treto-Suarez MA; Ramos Y; Vergara-Murillo F; Orozco-Ugarriza ME; Martínez-López Y
    SAR QSAR Environ Res; 2017 May; 28(5):367-389. PubMed ID: 28590848
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multispecies QSAR modeling for predicting the aquatic toxicity of diverse organic chemicals for regulatory toxicology.
    Singh KP; Gupta S; Kumar A; Mohan D
    Chem Res Toxicol; 2014 May; 27(5):741-53. PubMed ID: 24738471
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrating QSAR models predicting acute contact toxicity and mode of action profiling in honey bees (A. mellifera): Data curation using open source databases, performance testing and validation.
    Carnesecchi E; Toma C; Roncaglioni A; Kramer N; Benfenati E; Dorne JLCM
    Sci Total Environ; 2020 Sep; 735():139243. PubMed ID: 32480144
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Ecotoxicological QSAR modeling of organic compounds against fish: Application of fragment based descriptors in feature analysis.
    Khan K; Baderna D; Cappelli C; Toma C; Lombardo A; Roy K; Benfenati E
    Aquat Toxicol; 2019 Jul; 212():162-174. PubMed ID: 31128417
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting PBT and CMR properties of substances of very high concern (SVHCs) using QSAR models, and application for K-REACH.
    Moon J; Lee B; Ra JS; Kim KT
    Toxicol Rep; 2020; 7():995-1000. PubMed ID: 32874922
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improvement of quantitative structure-activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project.
    Honma M; Kitazawa A; Cayley A; Williams RV; Barber C; Hanser T; Saiakhov R; Chakravarti S; Myatt GJ; Cross KP; Benfenati E; Raitano G; Mekenyan O; Petkov P; Bossa C; Benigni R; Battistelli CL; Giuliani A; Tcheremenskaia O; DeMeo C; Norinder U; Koga H; Jose C; Jeliazkova N; Kochev N; Paskaleva V; Yang C; Daga PR; Clark RD; Rathman J
    Mutagenesis; 2019 Mar; 34(1):3-16. PubMed ID: 30357358
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Ensemble hologram quantitative structure activity relationship model of the chromatographic retention index of aldehydes and ketones].
    Lei B; Zang Y; Xue Z; Ge Y; Li W; Zhai Q; Jiao L
    Se Pu; 2021 Mar; 39(3):331-337. PubMed ID: 34227314
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of MC4PC and MDL-QSAR rodent carcinogenicity predictions and the enhancement of predictive performance by combining QSAR models.
    Contrera JF; Kruhlak NL; Matthews EJ; Benz RD
    Regul Toxicol Pharmacol; 2007 Dec; 49(3):172-82. PubMed ID: 17703860
    [TBL] [Abstract][Full Text] [Related]  

  • 12. QSAR Use in REACH Analyses of Alternatives to Predict Human Health and Environmental Toxicity of Alternative Chemical Substances.
    Chinen K; Malloy T
    Integr Environ Assess Manag; 2020 Sep; 16(5):745-760. PubMed ID: 32162772
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of the OECD QSAR toolbox automatic workflow for the prediction of the acute toxicity of organic chemicals to fathead minnow.
    Mombelli E; Pandard P
    Regul Toxicol Pharmacol; 2021 Jun; 122():104893. PubMed ID: 33587933
    [TBL] [Abstract][Full Text] [Related]  

  • 14. In Silico Approaches in Predictive Genetic Toxicology.
    Sinha M; Dhawan A; Parthasarathi R
    Methods Mol Biol; 2019; 2031():351-373. PubMed ID: 31473971
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Good, The Bad, and The Perplexing: Structural Alerts and Read-Across for Predicting Skin Sensitization Using Human Data.
    Golden E; Ukaegbu DC; Ranslow P; Brown RH; Hartung T; Maertens A
    Chem Res Toxicol; 2023 May; 36(5):734-746. PubMed ID: 37126467
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessment of predictivity of volatile organic compounds carcinogenicity and mutagenicity by freeware in silico models.
    Guerra LR; de Souza AMT; Côrtes JA; Lione VOF; Castro HC; Alves GG
    Regul Toxicol Pharmacol; 2017 Dec; 91():1-8. PubMed ID: 28970106
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel QSAR model of Salmonella mutagenicity and its application in the safety assessment of drug impurities.
    Valencia A; Prous J; Mora O; Sadrieh N; Valerio LG
    Toxicol Appl Pharmacol; 2013 Dec; 273(3):427-34. PubMed ID: 24090816
    [TBL] [Abstract][Full Text] [Related]  

  • 18. QSAR modelling study of the bioconcentration factor and toxicity of organic compounds to aquatic organisms using machine learning and ensemble methods.
    Ai H; Wu X; Zhang L; Qi M; Zhao Y; Zhao Q; Zhao J; Liu H
    Ecotoxicol Environ Saf; 2019 Sep; 179():71-78. PubMed ID: 31026752
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A data reusability assessment in the nanosafety domain based on the NSDRA framework followed by an exploratory quantitative structure activity relationships (QSAR) modeling targeting cellular viability.
    Furxhi I; Willighagen E; Evelo C; Costa A; Gardini D; Ammar A
    NanoImpact; 2023 Jul; 31():100475. PubMed ID: 37423508
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Uncertainty in QSAR predictions.
    Sahlin U
    Altern Lab Anim; 2013 Mar; 41(1):111-25. PubMed ID: 23614548
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.