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 *

81 related articles for article (PubMed ID: 21381392)

  • 1. [Computational study on drug design and prediction of bioactivity for regulation of non-controlled psychotropic substances].
    Kurihara M
    Kokuritsu Iyakuhin Shokuhin Eisei Kenkyusho Hokoku; 2010; (128):29-33. PubMed ID: 21381392
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The 2alpha-(3-hydroxypropyl) group as an active motif in vitamin D3 analogues as agonists of the mutant vitamin D receptor (Arg274Leu).
    Honzawa S; Yamamoto Y; Yamashita A; Sugiura T; Kurihara M; Arai MA; Kato S; Kittaka A
    Bioorg Med Chem; 2008 Mar; 16(6):3002-24. PubMed ID: 18248997
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Mixed-model QSAR at the glucocorticoid receptor: predicting the binding mode and affinity of psychotropic drugs.
    Spreafico M; Ernst B; Lill MA; Smiesko M; Vedani A
    ChemMedChem; 2009 Jan; 4(1):100-9. PubMed ID: 19009570
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Computational study on prediction of bioactivity for regulation of new designer drugs].
    Kurihara M
    Yakugaku Zasshi; 2013; 133(1):13-6. PubMed ID: 23292014
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Molecular modeling studies of pyridopurinone derivatives--potential phosphodiesterase 5 inhibitors.
    Srivani P; Srinivas E; Raghu R; Sastry GN
    J Mol Graph Model; 2007 Jul; 26(1):378-90. PubMed ID: 17307372
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Ligand-based virtual screening and in silico design of new antimalarial compounds using nonstochastic and stochastic total and atom-type quadratic maps.
    Marrero-Ponce Y; Iyarreta-Veitía M; Montero-Torres A; Romero-Zaldivar C; Brandt CA; Avila PE; Kirchgatter K; Machado Y
    J Chem Inf Model; 2005; 45(4):1082-100. PubMed ID: 16045304
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 3D-QSAR studies with the aid of molecular docking for a series of non-steroidal FXR agonists.
    Zhang T; Zhou JH; Shi LW; Zhu RX; Chen MB
    Bioorg Med Chem Lett; 2007 Apr; 17(8):2156-60. PubMed ID: 17307356
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Receptor flexibility in de novo ligand design and docking.
    Alberts IL; Todorov NP; Dean PM
    J Med Chem; 2005 Oct; 48(21):6585-96. PubMed ID: 16220975
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Synthesis, binding and bioactivity of gamma-methylene gamma-lactam ecdysone receptor ligands: advantages of QSAR models for flexible receptors.
    Birru W; Fernley RT; Graham LD; Grusovin J; Hill RJ; Hofmann A; Howell L; James PJ; Jarvis KE; Johnson WM; Jones DA; Leitner C; Liepa AJ; Lovrecz GO; Lu L; Nearn RH; O'Driscoll BJ; Phan T; Pollard M; Turner KA; Winkler DA
    Bioorg Med Chem; 2010 Aug; 18(15):5647-60. PubMed ID: 20619664
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Search for new antagonist ligands for adenosine receptors from QSAR point of view. How close are we?
    González MP; Terán C; Teijeira M
    Med Res Rev; 2008 May; 28(3):329-71. PubMed ID: 17668454
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Novel anti-HIV cyclotriazadisulfonamide derivatives as modeled by ligand- and receptor-based approaches.
    Pinheiro JR; Bitencourt M; da Cunha EF; Ramalho TC; Freitas MP
    Bioorg Med Chem; 2008 Feb; 16(4):1683-90. PubMed ID: 18053727
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combined 3D-QSAR modeling and molecular docking study on indolinone derivatives as inhibitors of 3-phosphoinositide-dependent protein kinase-1.
    AbdulHameed MD; Hamza A; Liu J; Zhan CG
    J Chem Inf Model; 2008 Sep; 48(9):1760-72. PubMed ID: 18717540
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Application of 3D QSAR CoMFA/CoMSIA and in silico docking studies on novel renin inhibitors against cardiovascular diseases.
    Politi A; Durdagi S; Moutevelis-Minakakis P; Kokotos G; Papadopoulos MG; Mavromoustakos T
    Eur J Med Chem; 2009 Sep; 44(9):3703-11. PubMed ID: 19410337
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Structure-based design of a superagonist ligand for the vitamin D nuclear receptor.
    Hourai S; Rodrigues LC; Antony P; Reina-San-Martin B; Ciesielski F; Magnier BC; Schoonjans K; Mouriño A; Rochel N; Moras D
    Chem Biol; 2008 Apr; 15(4):383-92. PubMed ID: 18420145
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of 3D-QSAR in the rational design of receptor ligands and enzyme inhibitors.
    Mor M; Rivara S; Lodola A; Lorenzi S; Bordi F; Plazzi PV; Spadoni G; Bedini A; Duranti A; Tontini A; Tarzia G
    Chem Biodivers; 2005 Nov; 2(11):1438-51. PubMed ID: 17191945
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Binding interaction analysis of the active site and its inhibitors for neuraminidase (N1 subtype) of human influenza virus by the integration of molecular docking, FMO calculation and 3D-QSAR CoMFA modeling.
    Zhang Q; Yang J; Liang K; Feng L; Li S; Wan J; Xu X; Yang G; Liu D; Yang S
    J Chem Inf Model; 2008 Sep; 48(9):1802-12. PubMed ID: 18707092
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Three-dimensional modeling of and ligand docking to vitamin D receptor ligand binding domain.
    Yamamoto K; Masuno H; Choi M; Nakashima K; Taga T; Ooizumi H; Umesono K; Sicinska W; VanHooke J; DeLuca HF; Yamada S
    Proc Natl Acad Sci U S A; 2000 Feb; 97(4):1467-72. PubMed ID: 10677485
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Alignment-free prediction of a drug-target complex network based on parameters of drug connectivity and protein sequence of receptors.
    Viña D; Uriarte E; Orallo F; González-Díaz H
    Mol Pharm; 2009; 6(3):825-35. PubMed ID: 19281186
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Combined 3D-QSAR modeling and molecular docking study on quinoline derivatives as inhibitors of P-selectin.
    Zeng H; Cao R; Zhang H
    Chem Biol Drug Des; 2009 Dec; 74(6):596-610. PubMed ID: 19843078
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 5.