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 *

190 related articles for article (PubMed ID: 23700997)

  • 1. Flow network QSAR for the prediction of physicochemical properties by mapping an electrical resistance network onto a chemical reaction poset.
    Ivanciuc O; Ivanciuc T; Klein DJ
    Curr Comput Aided Drug Des; 2013 Jun; 9(2):233-40. PubMed ID: 23700997
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Posetic quantitative superstructure/activity relationships (QSSARs) for chlorobenzenes.
    Ivanciuc T; Ivanciuc O; Klein DJ
    J Chem Inf Model; 2005; 45(4):870-9. PubMed ID: 16045280
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Modeling the bioconcentration factors and bioaccumulation factors of polychlorinated biphenyls with posetic quantitative super-structure/activity relationships (QSSAR).
    Ivanciuc T; Ivanciuc O; Klein DJ
    Mol Divers; 2006 May; 10(2):133-45. PubMed ID: 16710809
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Partially ordered sets: ranking and prediction of substances' properties.
    Restrepo G; Brüggemann R; Klein DJ
    Curr Comput Aided Drug Des; 2011 Jun; 7(2):133-45. PubMed ID: 21534922
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combinatorics of reaction-network posets.
    Klein DJ; Ivanciuc T; Ryzhov A; Ivanciuc O
    Comb Chem High Throughput Screen; 2008 Nov; 11(9):723-33. PubMed ID: 18991575
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Chemical graphs, molecular matrices and topological indices in chemoinformatics and quantitative structure-activity relationships.
    Ivanciuc O
    Curr Comput Aided Drug Des; 2013 Jun; 9(2):153-63. PubMed ID: 23701000
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Unified QSAR approach to antimicrobials. Part 3: first multi-tasking QSAR model for input-coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds.
    Prado-Prado FJ; González-Díaz H; de la Vega OM; Ubeira FM; Chou KC
    Bioorg Med Chem; 2008 Jun; 16(11):5871-80. PubMed ID: 18485714
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predictive QSAR modeling of CCR5 antagonist piperidine derivatives using chemometric tools.
    Roy K; Mandal AS
    J Enzyme Inhib Med Chem; 2009 Feb; 24(1):205-23. PubMed ID: 18608745
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Importance of Kier-Hall topological indices in the QSAR of anticancer drug design.
    Nandi S; Bagchi MC
    Curr Comput Aided Drug Des; 2012 Jun; 8(2):159-70. PubMed ID: 22497470
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Quantitative structure-activity relationship model for prediction of cardiotoxicity of chemical components in traditional Chinese medicines].
    Beijing Da Xue Xue Bao Yi Xue Ban; 2017 Jun; 49(3):551-556. PubMed ID: 28628163
    [TBL] [Abstract][Full Text] [Related]  

  • 12. QSAR Methods.
    Gini G
    Methods Mol Biol; 2016; 1425():1-20. PubMed ID: 27311459
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combinatorial QSAR of ambergris fragrance compounds.
    Kovatcheva A; Golbraikh A; Oloff S; Xiao YD; Zheng W; Wolschann P; Buchbauer G; Tropsha A
    J Chem Inf Comput Sci; 2004; 44(2):582-95. PubMed ID: 15032539
    [TBL] [Abstract][Full Text] [Related]  

  • 14. QSAR modeling without descriptors using graph convolutional neural networks: the case of mutagenicity prediction.
    Hung C; Gini G
    Mol Divers; 2021 Aug; 25(3):1283-1299. PubMed ID: 34146224
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Assessing the reliability of a QSAR model's predictions.
    He L; Jurs PC
    J Mol Graph Model; 2005 Jun; 23(6):503-23. PubMed ID: 15896992
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.
    Wu Z; Jiang D; Hsieh CY; Chen G; Liao B; Cao D; Hou T
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33866354
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimation of the chemical-induced eye injury using a weight-of-evidence (WoE) battery of 21 artificial neural network (ANN) c-QSAR models (QSAR-21): part I: irritation potential.
    Verma RP; Matthews EJ
    Regul Toxicol Pharmacol; 2015 Mar; 71(2):318-30. PubMed ID: 25497990
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting drugs and proteins in parasite infections with topological indices of complex networks: theoretical backgrounds, applications, and legal issues.
    González-Díaz H; Romaris F; Duardo-Sanchez A; Pérez-Montoto LG; Prado-Prado F; Patlewicz G; Ubeira FM
    Curr Pharm Des; 2010; 16(24):2737-64. PubMed ID: 20642428
    [TBL] [Abstract][Full Text] [Related]  

  • 19. QSAR prediction of estrogen activity for a large set of diverse chemicals under the guidance of OECD principles.
    Liu H; Papa E; Gramatica P
    Chem Res Toxicol; 2006 Nov; 19(11):1540-8. PubMed ID: 17112243
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Linear QSAR regression models for the prediction of bioconcentration factors by physicochemical properties and structural theoretical molecular descriptors.
    Papa E; Dearden JC; Gramatica P
    Chemosphere; 2007 Feb; 67(2):351-8. PubMed ID: 17109926
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.