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 *

182 related articles for article (PubMed ID: 35188644)

  • 1. MultiCASE Platform for In Silico Toxicology.
    Chakravarti SK; Saiakhov RD
    Methods Mol Biol; 2022; 2425():497-518. PubMed ID: 35188644
    [TBL] [Abstract][Full Text] [Related]  

  • 2. In silico toxicology for the pharmaceutical sciences.
    Valerio LG
    Toxicol Appl Pharmacol; 2009 Dec; 241(3):356-70. PubMed ID: 19716836
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Implementation of In Silico Toxicology Protocols in Leadscope.
    Cross K; Johnson C; Myatt GJ
    Methods Mol Biol; 2022; 2425():419-434. PubMed ID: 35188641
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Enalos Suite: New Cheminformatics Platform for Drug Discovery and Computational Toxicology.
    Varsou DD; Nikolakopoulos S; Tsoumanis A; Melagraki G; Afantitis A
    Methods Mol Biol; 2018; 1800():287-311. PubMed ID: 29934899
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses.
    Landry C; Kim MT; Kruhlak NL; Cross KP; Saiakhov R; Chakravarti S; Stavitskaya L
    Regul Toxicol Pharmacol; 2019 Dec; 109():104488. PubMed ID: 31586682
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Testing computational toxicology models with phytochemicals.
    Valerio LG; Arvidson KB; Busta E; Minnier BL; Kruhlak NL; Benz RD
    Mol Nutr Food Res; 2010 Feb; 54(2):186-94. PubMed ID: 20024931
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Comprehension of drug toxicity: software and databases.
    Toropov AA; Toropova AP; Raska I; Leszczynska D; Leszczynski J
    Comput Biol Med; 2014 Feb; 45():20-5. PubMed ID: 24480159
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine Learning and Artificial Intelligence in Toxicological Sciences.
    Lin Z; Chou WC
    Toxicol Sci; 2022 Aug; 189(1):7-19. PubMed ID: 35861448
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. (Q)SAR Methods for Predicting Genotoxicity and Carcinogenicity: Scientific Rationale and Regulatory Frameworks.
    Bossa C; Benigni R; Tcheremenskaia O; Battistelli CL
    Methods Mol Biol; 2018; 1800():447-473. PubMed ID: 29934905
    [TBL] [Abstract][Full Text] [Related]  

  • 13. In silico toxicology protocols.
    Myatt GJ; Ahlberg E; Akahori Y; Allen D; Amberg A; Anger LT; Aptula A; Auerbach S; Beilke L; Bellion P; Benigni R; Bercu J; Booth ED; Bower D; Brigo A; Burden N; Cammerer Z; Cronin MTD; Cross KP; Custer L; Dettwiler M; Dobo K; Ford KA; Fortin MC; Gad-McDonald SE; Gellatly N; Gervais V; Glover KP; Glowienke S; Van Gompel J; Gutsell S; Hardy B; Harvey JS; Hillegass J; Honma M; Hsieh JH; Hsu CW; Hughes K; Johnson C; Jolly R; Jones D; Kemper R; Kenyon MO; Kim MT; Kruhlak NL; Kulkarni SA; Kümmerer K; Leavitt P; Majer B; Masten S; Miller S; Moser J; Mumtaz M; Muster W; Neilson L; Oprea TI; Patlewicz G; Paulino A; Lo Piparo E; Powley M; Quigley DP; Reddy MV; Richarz AN; Ruiz P; Schilter B; Serafimova R; Simpson W; Stavitskaya L; Stidl R; Suarez-Rodriguez D; Szabo DT; Teasdale A; Trejo-Martin A; Valentin JP; Vuorinen A; Wall BA; Watts P; White AT; Wichard J; Witt KL; Woolley A; Woolley D; Zwickl C; Hasselgren C
    Regul Toxicol Pharmacol; 2018 Jul; 96():1-17. PubMed ID: 29678766
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Testing by artificial intelligence: computational alternatives to the determination of mutagenicity.
    Klopman G; Rosenkranz HS
    Mutat Res; 1992 Aug; 272(1):59-71. PubMed ID: 1380119
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computational toxicology: an overview of the sources of data and of modelling methods.
    Nigsch F; Macaluso NJ; Mitchell JB; Zmuidinavicius D
    Expert Opin Drug Metab Toxicol; 2009 Jan; 5(1):1-14. PubMed ID: 19236225
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Molecular Similarity in Computational Toxicology.
    Floris M; Olla S
    Methods Mol Biol; 2018; 1800():171-179. PubMed ID: 29934892
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Flexible use of QSAR models in predictive toxicology: a case study on aromatic amines.
    Benigni R; Bossa C
    Environ Mol Mutagen; 2012 Jan; 53(1):62-9. PubMed ID: 22329023
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integration of structure-activity relationship and artificial intelligence systems to improve in silico prediction of ames test mutagenicity.
    Mazzatorta P; Tran LA; Schilter B; Grigorov M
    J Chem Inf Model; 2007; 47(1):34-8. PubMed ID: 17238246
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Review of the state of science and evaluation of currently available in silico prediction models for reproductive and developmental toxicity: A case study on pesticides.
    Weyrich A; Joel M; Lewin G; Hofmann T; Frericks M
    Birth Defects Res; 2022 Aug; 114(14):812-842. PubMed ID: 35748219
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.