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 *

170 related articles for article (PubMed ID: 20337590)

  • 1. QSAR in the pharmaceutical research setting: QSAR models for broad, large problems.
    Sprous DG; Palmer RK; Swanson JT; Lawless M
    Curr Top Med Chem; 2010; 10(6):619-37. PubMed ID: 20337590
    [TBL] [Abstract][Full Text] [Related]  

  • 2. QSAR modeling of GPCR ligands: methodologies and examples of applications.
    Tropsha A; Wang SX
    Ernst Schering Found Symp Proc; 2006; (2):49-73. PubMed ID: 17703577
    [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. Quantitative structure-activity relationship methods: perspectives on drug discovery and toxicology.
    Perkins R; Fang H; Tong W; Welsh WJ
    Environ Toxicol Chem; 2003 Aug; 22(8):1666-79. PubMed ID: 12924569
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparative Analysis of QSAR-based vs. Chemical Similarity Based Predictors of GPCRs Binding Affinity.
    Luo M; Wang XS; Tropsha A
    Mol Inform; 2016 Jan; 35(1):36-41. PubMed ID: 27491652
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The advancement of multidimensional QSAR for novel drug discovery - where are we headed?
    Wang T; Yuan XS; Wu MB; Lin JP; Yang LR
    Expert Opin Drug Discov; 2017 Aug; 12(8):769-784. PubMed ID: 28562095
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 4D- quantitative structure-activity relationship modeling: making a comeback.
    Fourches D; Ash J
    Expert Opin Drug Discov; 2019 Dec; 14(12):1227-1235. PubMed ID: 31513441
    [No Abstract]   [Full Text] [Related]  

  • 8. Quantitative structure-activity relationship: promising advances in drug discovery platforms.
    Wang T; Wu MB; Lin JP; Yang LR
    Expert Opin Drug Discov; 2015 Dec; 10(12):1283-300. PubMed ID: 26358617
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Profile-QSAR: a novel meta-QSAR method that combines activities across the kinase family to accurately predict affinity, selectivity, and cellular activity.
    Martin E; Mukherjee P; Sullivan D; Jansen J
    J Chem Inf Model; 2011 Aug; 51(8):1942-56. PubMed ID: 21667971
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Editorial: Current status and perspective on drug targets in tubercle bacilli and drug design of antituberculous agents based on structure-activity relationship.
    Tomioka H
    Curr Pharm Des; 2014; 20(27):4305-6. PubMed ID: 24245755
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multiobjective optimization in quantitative structure-activity relationships: deriving accurate and interpretable QSARs.
    Nicolotti O; Gillet VJ; Fleming PJ; Green DV
    J Med Chem; 2002 Nov; 45(23):5069-80. PubMed ID: 12408718
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cheminformatics in the Service of GPCR Drug Discovery.
    James T
    Methods Mol Biol; 2018; 1705():395-411. PubMed ID: 29188575
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Localized heuristic inverse quantitative structure activity relationship with bulk descriptors using numerical gradients.
    Stålring J; Almeida PR; Carlsson L; Helgee Ahlberg E; Hasselgren C; Boyer S
    J Chem Inf Model; 2013 Aug; 53(8):2001-17. PubMed ID: 23845139
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predictive QSAR modeling workflow, model applicability domains, and virtual screening.
    Tropsha A; Golbraikh A
    Curr Pharm Des; 2007; 13(34):3494-504. PubMed ID: 18220786
    [TBL] [Abstract][Full Text] [Related]  

  • 15. In silico binary classification QSAR models based on 4D-fingerprints and MOE descriptors for prediction of hERG blockage.
    Su BH; Shen MY; Esposito EX; Hopfinger AJ; Tseng YJ
    J Chem Inf Model; 2010 Jul; 50(7):1304-18. PubMed ID: 20565102
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using DFT methodology for more reliable predictive models: Design of inhibitors of Golgi α-Mannosidase II.
    Bobovská A; Tvaroška I; Kóňa J
    J Mol Graph Model; 2016 May; 66():47-57. PubMed ID: 27035259
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Receptor dependent multidimensional QSAR for modeling drug--receptor interactions.
    Polanski J
    Curr Med Chem; 2009; 16(25):3243-57. PubMed ID: 19548875
    [TBL] [Abstract][Full Text] [Related]  

  • 18. How good are ensembles in improving QSAR models? The case with eCoRIA.
    Khedkar VM; Joseph J; Pissurlenkar R; Saran A; Coutinho EC
    J Biomol Struct Dyn; 2015; 33(4):749-69. PubMed ID: 24754910
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Role of Topological, Electronic, Geometrical, Constitutional and Quantum Chemical Based Descriptors in QSAR: mPGES-1 as a Case Study.
    Gupta A; Kumar V; Aparoy P
    Curr Top Med Chem; 2018; 18(13):1075-1090. PubMed ID: 30027847
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fuzzy tricentric pharmacophore fingerprints. 2. Application of topological fuzzy pharmacophore triplets in quantitative structure-activity relationships.
    Bonachéra F; Horvath D
    J Chem Inf Model; 2008 Feb; 48(2):409-25. PubMed ID: 18254617
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.