BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

239 related articles for article (PubMed ID: 18762425)

  • 1. Pharmacophore modeling and virtual screening for designing potential PLK1 inhibitors.
    Wang HY; Cao ZX; Li LL; Jiang PD; Zhao YL; Luo SD; Yang L; Wei YQ; Yang SY
    Bioorg Med Chem Lett; 2008 Sep; 18(18):4972-7. PubMed ID: 18762425
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A specific pharmacophore model of Aurora B kinase inhibitors and virtual screening studies based on it.
    Wang HY; Li LL; Cao ZX; Luo SD; Wei YQ; Yang SY
    Chem Biol Drug Des; 2009 Jan; 73(1):115-26. PubMed ID: 19152640
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pharmacophore modeling and virtual screening for designing potential 5-lipoxygenase inhibitors.
    Aparoy P; Kumar Reddy K; Kalangi SK; Chandramohan Reddy T; Reddanna P
    Bioorg Med Chem Lett; 2010 Feb; 20(3):1013-8. PubMed ID: 20045317
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pharmacophore modelling and virtual screening for identification of new Aurora-A kinase inhibitors.
    Deng XQ; Wang HY; Zhao YL; Xiang ML; Jiang PD; Cao ZX; Zheng YZ; Luo SD; Yu LT; Wei YQ; Yang SY
    Chem Biol Drug Des; 2008 Jun; 71(6):533-9. PubMed ID: 18410307
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pharmacophore modeling and virtual screening for the discovery of new transforming growth factor-beta type I receptor (ALK5) inhibitors.
    Ren JX; Li LL; Zou J; Yang L; Yang JL; Yang SY
    Eur J Med Chem; 2009 Nov; 44(11):4259-65. PubMed ID: 19640613
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Pharmacophore modeling and hybrid virtual screening for the discovery of novel IκB kinase 2 (IKK2) inhibitors.
    Xie HZ; Liu LY; Ren JX; Zhou JP; Zheng RL; Li LL; Yang SY
    J Biomol Struct Dyn; 2011 Aug; 29(1):165-79. PubMed ID: 21696232
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 3D QSAR pharmacophore based virtual screening and molecular docking for identification of potential HSP90 inhibitors.
    Sakkiah S; Thangapandian S; John S; Kwon YJ; Lee KW
    Eur J Med Chem; 2010 Jun; 45(6):2132-40. PubMed ID: 20206418
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Pharmacophore modeling study based on known spleen tyrosine kinase inhibitors together with virtual screening for identifying novel inhibitors.
    Xie HZ; Li LL; Ren JX; Zou J; Yang L; Wei YQ; Yang SY
    Bioorg Med Chem Lett; 2009 Apr; 19(7):1944-9. PubMed ID: 19254842
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pharmacophore modeling and virtual screening studies of checkpoint kinase 1 inhibitors.
    Chen JJ; Liu TL; Yang LJ; Li LL; Wei YQ; Yang SY
    Chem Pharm Bull (Tokyo); 2009 Jul; 57(7):704-9. PubMed ID: 19571415
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The discovery of novel vascular endothelial growth factor receptor tyrosine kinases inhibitors: pharmacophore modeling, virtual screening and docking studies.
    Yu H; Wang Z; Zhang L; Zhang J; Huang Q
    Chem Biol Drug Des; 2007 Mar; 69(3):204-11. PubMed ID: 17441906
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pharmacophore identification, docking and "in silico" screening for novel CDK1 inhibitors.
    Dong X; Yan J; Du L; Wu P; Huang S; Liu T; Hu Y
    J Mol Graph Model; 2012 Jul; 37():77-86. PubMed ID: 22622012
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Reaction-driven de novo design, synthesis and testing of potential type II kinase inhibitors.
    Schneider G; Geppert T; Hartenfeller M; Reisen F; Klenner A; Reutlinger M; Hähnke V; Hiss JA; Zettl H; Keppner S; Spänkuch B; Schneider P
    Future Med Chem; 2011 Mar; 3(4):415-24. PubMed ID: 21452978
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pharmacophore modeling and virtual screening to identify potential RET kinase inhibitors.
    Shih KC; Shiau CW; Chen TS; Ko CH; Lin CL; Lin CY; Hwang CS; Tang CY; Chen WR; Huang JW
    Bioorg Med Chem Lett; 2011 Aug; 21(15):4490-7. PubMed ID: 21724393
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pharmacophore-based virtual screening and docking studies on Hsp90 inhibitors.
    Saxena S; Chaudhaery SS; Varshney K; Saxena AK
    SAR QSAR Environ Res; 2010 Jul; 21(5-6):445-62. PubMed ID: 20818581
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Chemical function based pharmacophore generation of endothelin-A selective receptor antagonists.
    Funk OF; Kettmann V; Drimal J; Langer T
    J Med Chem; 2004 May; 47(11):2750-60. PubMed ID: 15139753
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of novel polo-like kinase 1 inhibitors by a hybrid virtual screening.
    Lu S; Sun SL; Liu HC; Chen YD; Yuan HL; Gao YP; Yang P; Lu T
    Chem Biol Drug Des; 2012 Aug; 80(2):328-39. PubMed ID: 22583481
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dynamic and multi-pharmacophore modeling for designing polo-box domain inhibitors.
    Sakkiah S; Senese S; Yang Q; Lee KW; Torres JZ
    PLoS One; 2014; 9(7):e101405. PubMed ID: 25036740
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Pharmacophore modeling and in silico screening for new KDR kinase inhibitors.
    Yu H; Wang Z; Zhang L; Zhang J; Huang Q
    Bioorg Med Chem Lett; 2007 Apr; 17(8):2126-33. PubMed ID: 17306530
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A common feature-based 3D-pharmacophore model generation and virtual screening: identification of potential PfDHFR inhibitors.
    Adane L; Bharatam PV; Sharma V
    J Enzyme Inhib Med Chem; 2010 Oct; 25(5):635-45. PubMed ID: 19995305
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A three-dimensional pharmacophore modelling of ITK inhibitors and virtual screening for novel inhibitors.
    Bagga V; Silakari O; Ghorela VS; Bahia MS; Rambabu G; Sarma J
    SAR QSAR Environ Res; 2011 Mar; 22(1-2):171-90. PubMed ID: 21391146
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.