BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

179 related articles for article (PubMed ID: 26881740)

  • 1. Predicting human intestinal absorption of diverse chemicals using ensemble learning based QSAR modeling approaches.
    Basant N; Gupta S; Singh KP
    Comput Biol Chem; 2016 Apr; 61():178-96. PubMed ID: 26881740
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Qualitative and quantitative structure-activity relationship modelling for predicting blood-brain barrier permeability of structurally diverse chemicals.
    Gupta S; Basant N; Singh KP
    SAR QSAR Environ Res; 2015; 26(2):95-124. PubMed ID: 25629764
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Modeling the binding affinity of structurally diverse industrial chemicals to carbon using the artificial intelligence approaches.
    Gupta S; Basant N; Rai P; Singh KP
    Environ Sci Pollut Res Int; 2015 Nov; 22(22):17810-27. PubMed ID: 26160122
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A three-tier QSAR modeling strategy for estimating eye irritation potential of diverse chemicals in rabbit for regulatory purposes.
    Basant N; Gupta S; Singh KP
    Regul Toxicol Pharmacol; 2016 Jun; 77():282-91. PubMed ID: 27018829
    [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. QSTR modeling for qualitative and quantitative toxicity predictions of diverse chemical pesticides in honey bee for regulatory purposes.
    Singh KP; Gupta S; Basant N; Mohan D
    Chem Res Toxicol; 2014 Sep; 27(9):1504-15. PubMed ID: 25167463
    [TBL] [Abstract][Full Text] [Related]  

  • 7. In silico prediction of toxicity of non-congeneric industrial chemicals using ensemble learning based modeling approaches.
    Singh KP; Gupta S
    Toxicol Appl Pharmacol; 2014 Mar; 275(3):198-212. PubMed ID: 24463095
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting binding affinities of diverse pharmaceutical chemicals to human serum plasma proteins using QSPR modelling approaches.
    Basant N; Gupta S; Singh KP
    SAR QSAR Environ Res; 2016; 27(1):67-85. PubMed ID: 26854728
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A topological sub-structural approach for predicting human intestinal absorption of drugs.
    Pérez MA; Sanz MB; Torres LR; Avalos RG; González MP; Díaz HG
    Eur J Med Chem; 2004 Nov; 39(11):905-16. PubMed ID: 15501539
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Nonlinear QSAR modeling for predicting cytotoxicity of ionic liquids in leukemia rat cell line: an aid to green chemicals designing.
    Gupta S; Basant N; Singh KP
    Environ Sci Pollut Res Int; 2015 Aug; 22(16):12699-710. PubMed ID: 25913312
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimating sensory irritation potency of volatile organic chemicals using QSARs based on decision tree methods for regulatory purpose.
    Gupta S; Basant N; Singh KP
    Ecotoxicology; 2015 May; 24(4):873-86. PubMed ID: 25707485
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting carcinogenicity of diverse chemicals using probabilistic neural network modeling approaches.
    Singh KP; Gupta S; Rai P
    Toxicol Appl Pharmacol; 2013 Oct; 272(2):465-75. PubMed ID: 23856075
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting acute aquatic toxicity of structurally diverse chemicals in fish using artificial intelligence approaches.
    Singh KP; Gupta S; Rai P
    Ecotoxicol Environ Saf; 2013 Sep; 95():221-33. PubMed ID: 23764236
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Modeling the reactivities of hydroxyl radical and ozone towards atmospheric organic chemicals using quantitative structure-reactivity relationship approaches.
    Gupta S; Basant N; Mohan D; Singh KP
    Environ Sci Pollut Res Int; 2016 Jul; 23(14):14034-46. PubMed ID: 27040550
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Antiprotozoan lead discovery by aligning dry and wet screening: prediction, synthesis, and biological assay of novel quinoxalinones.
    Martins Alho MA; Marrero-Ponce Y; Barigye SJ; Meneses-Marcel A; Machado Tugores Y; Montero-Torres A; Gómez-Barrio A; Nogal JJ; García-Sánchez RN; Vega MC; Rolón M; Martínez-Fernández AR; Escario JA; Pérez-Giménez F; Garcia-Domenech R; Rivera N; Mondragón R; Mondragón M; Ibarra-Velarde F; Lopez-Arencibia A; Martín-Navarro C; Lorenzo-Morales J; Cabrera-Serra MG; Piñero J; Tytgat J; Chicharro R; Arán VJ
    Bioorg Med Chem; 2014 Mar; 22(5):1568-85. PubMed ID: 24513185
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting the hazardous dose of industrial chemicals in warm-blooded species using machine learning-based modelling approaches.
    Gupta S; Basant N; Singh KP
    SAR QSAR Environ Res; 2015 Jun; 26(6):479-98. PubMed ID: 26087353
    [TBL] [Abstract][Full Text] [Related]  

  • 18. QSAR modeling for predicting reproductive toxicity of chemicals in rats for regulatory purposes.
    Basant N; Gupta S; Singh KP
    Toxicol Res (Camb); 2016 Jul; 5(4):1029-1038. PubMed ID: 30090410
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting Toxicities of Diverse Chemical Pesticides in Multiple Avian Species Using Tree-Based QSAR Approaches for Regulatory Purposes.
    Basant N; Gupta S; Singh KP
    J Chem Inf Model; 2015 Jul; 55(7):1337-48. PubMed ID: 26158470
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A new topological descriptors based model for predicting intestinal epithelial transport of drugs in Caco-2 cell culture.
    Marrero Ponce Y; Cabrera Pérez MA; Romero Zaldivar V; González Díaz H; Torrens F
    J Pharm Pharm Sci; 2004 Jun; 7(2):186-99. PubMed ID: 15367375
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.