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.
107 related articles for article (PubMed ID: 20728251)
1. 3D-QSAR pharmacophore modeling and in silico screening of new Bcl-xl inhibitors. Almerico AM; Tutone M; Lauria A Eur J Med Chem; 2010 Nov; 45(11):4774-82. PubMed ID: 20728251 [TBL] [Abstract][Full Text] [Related]
2. Exploration of new scaffolds as potential MAO-A inhibitors using pharmacophore and 3D-QSAR based in silico screening. Shelke SM; Bhosale SH; Dash RC; Suryawanshi MR; Mahadik KR Bioorg Med Chem Lett; 2011 Apr; 21(8):2419-24. PubMed ID: 21397504 [TBL] [Abstract][Full Text] [Related]
3. Discovery of potential new InhA direct inhibitors based on pharmacophore and 3D-QSAR analysis followed by in silico screening. Lu XY; Chen YD; Jiang YJ; You QD Eur J Med Chem; 2009 Sep; 44(9):3718-30. PubMed ID: 19428156 [TBL] [Abstract][Full Text] [Related]
4. Targeting the BH3 domain mediated protein-protein interaction of Bcl-xL through virtual screening. Mukherjee P; Desai P; Zhou YD; Avery M J Chem Inf Model; 2010 May; 50(5):906-23. PubMed ID: 20392095 [TBL] [Abstract][Full Text] [Related]
5. Rational design of new class of BH3-mimetics as inhibitors of the Bcl-xL protein. Pinto M; Orzaez Mdel M; Delgado-Soler L; Perez JJ; Rubio-Martinez J J Chem Inf Model; 2011 Jun; 51(6):1249-58. PubMed ID: 21528891 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Pharmacophore and docking-based combined in-silico study of KDR inhibitors. Pasha FA; Muddassar M; Neaz MM; Cho SJ J Mol Graph Model; 2009 Aug; 28(1):54-61. PubMed ID: 19447057 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. Combined 3D-QSAR modeling and molecular docking study on 1,4-dihydroindeno[1,2-c]pyrazoles as VEGFR-2 kinase inhibitors. Zeng H; Zhang H J Mol Graph Model; 2010 Aug; 29(1):54-71. PubMed ID: 20471293 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Design, synthesis, and interaction study of quinazoline-2(1H)-thione derivatives as novel potential Bcl-xL inhibitors. Feng Y; Ding X; Chen T; Chen L; Liu F; Jia X; Luo X; Shen X; Chen K; Jiang H; Wang H; Liu H; Liu D J Med Chem; 2010 May; 53(9):3465-79. PubMed ID: 20405848 [TBL] [Abstract][Full Text] [Related]
13. Structure-based approach to pharmacophore identification, in silico screening, and three-dimensional quantitative structure-activity relationship studies for inhibitors of Trypanosoma cruzi dihydrofolate reductase function. Schormann N; Senkovich O; Walker K; Wright DL; Anderson AC; Rosowsky A; Ananthan S; Shinkre B; Velu S; Chattopadhyay D Proteins; 2008 Dec; 73(4):889-901. PubMed ID: 18536013 [TBL] [Abstract][Full Text] [Related]
14. Pharmacophore filtering and 3D-QSAR in the discovery of new JAK2 inhibitors. Dhanachandra Singh Kh; Karthikeyan M; Kirubakaran P; Nagamani S J Mol Graph Model; 2011 Sep; 30():186-97. PubMed ID: 21831680 [TBL] [Abstract][Full Text] [Related]
15. Discovery of new MurF inhibitors via pharmacophore modeling and QSAR analysis followed by in-silico screening. Taha MO; Atallah N; Al-Bakri AG; Paradis-Bleau C; Zalloum H; Younis KS; Levesque RC Bioorg Med Chem; 2008 Feb; 16(3):1218-35. PubMed ID: 17988876 [TBL] [Abstract][Full Text] [Related]
16. A combination of in silico and SAR studies to identify binding hot spots of Bcl-xL inhibitors. Levoin N; Vo DD; Gautier F; Barillé-Nion S; Juin P; Tasseau O; Grée R Bioorg Med Chem; 2015 Apr; 23(8):1747-57. PubMed ID: 25797160 [TBL] [Abstract][Full Text] [Related]
17. Discovery of a potent inhibitor of the antiapoptotic protein Bcl-xL from NMR and parallel synthesis. Petros AM; Dinges J; Augeri DJ; Baumeister SA; Betebenner DA; Bures MG; Elmore SW; Hajduk PJ; Joseph MK; Landis SK; Nettesheim DG; Rosenberg SH; Shen W; Thomas S; Wang X; Zanze I; Zhang H; Fesik SW J Med Chem; 2006 Jan; 49(2):656-63. PubMed ID: 16420051 [TBL] [Abstract][Full Text] [Related]
18. Discovery of new renin inhibitory leads via sequential pharmacophore modeling, QSAR analysis, in silico screening and in vitro evaluation. Al-Nadaf AH; Taha MO J Mol Graph Model; 2011 Apr; 29(6):843-64. PubMed ID: 21376648 [TBL] [Abstract][Full Text] [Related]
19. Elucidating inhibitory models of the inhibitors of epidermal growth factor receptor by docking and 3D-QSAR. Chen G; Luo X; Zhu W; Luo C; Liu H; Puah CM; Chen K; Jiang H Bioorg Med Chem; 2004 May; 12(9):2409-17. PubMed ID: 15080937 [TBL] [Abstract][Full Text] [Related]
20. Modeling of diarylalkyl-imidazole and diarylalkyl-triazole derivatives as potent aromatase inhibitors for treatment of hormone-dependent cancer. Nagar S; Saha A J Comput Chem; 2010 Sep; 31(12):2342-53. PubMed ID: 20340106 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]