134 related articles for article (PubMed ID: 23477503)
1. A novel multi-target drug screening strategy directed against key proteins of DAPk family.
Nair SB; Fayaz SM; Rajanikant GK
Comb Chem High Throughput Screen; 2013 Jul; 16(6):449-57. PubMed ID: 23477503
[TBL] [Abstract][Full Text] [Related]
2. Death-associated protein kinase as a potential therapeutic target.
Schumacher AM; Velentza AV; Watterson DM
Expert Opin Ther Targets; 2002 Aug; 6(4):497-506. PubMed ID: 12223064
[TBL] [Abstract][Full Text] [Related]
3. Novel Functions of Death-Associated Protein Kinases through Mitogen-Activated Protein Kinase-Related Signals.
Elbadawy M; Usui T; Yamawaki H; Sasaki K
Int J Mol Sci; 2018 Oct; 19(10):. PubMed ID: 30287790
[TBL] [Abstract][Full Text] [Related]
4. Structure-activity relationship of novel DAPK inhibitors identified by structure-based virtual screening.
Okamoto M; Takayama K; Shimizu T; Muroya A; Furuya T
Bioorg Med Chem; 2010 Apr; 18(7):2728-34. PubMed ID: 20206532
[TBL] [Abstract][Full Text] [Related]
5. Structural insight into nucleotide recognition by human death-associated protein kinase.
McNamara LK; Watterson DM; Brunzelle JS
Acta Crystallogr D Biol Crystallogr; 2009 Mar; 65(Pt 3):241-8. PubMed ID: 19237746
[TBL] [Abstract][Full Text] [Related]
6. Death-associated protein kinase (DAPK) family modulators: Current and future therapeutic outcomes.
Farag AK; Roh EJ
Med Res Rev; 2019 Jan; 39(1):349-385. PubMed ID: 29949198
[TBL] [Abstract][Full Text] [Related]
7. Discovery of indirubin derivatives as new class of DRAK2 inhibitors from high throughput screening.
Jung ME; Byun BJ; Kim HM; Lee JY; Park JH; Lee N; Son YH; Choi SU; Yang KM; Kim SJ; Lee K; Kim YC; Choi G
Bioorg Med Chem Lett; 2016 Jun; 26(11):2719-23. PubMed ID: 27106709
[TBL] [Abstract][Full Text] [Related]
8. The discovery of aurora kinase inhibitor by multi-docking-based virtual screening.
Kim JT; Jung SH; Kang SY; Ryu CK; Kang NS
Int J Mol Sci; 2014 Nov; 15(11):20403-12. PubMed ID: 25383681
[TBL] [Abstract][Full Text] [Related]
9. Integration of virtual screening with high-throughput screening for the identification of novel Rho-kinase I inhibitors.
Gong LL; Fang LH; Peng JH; Liu AL; Du GH
J Biotechnol; 2010 Feb; 145(3):295-303. PubMed ID: 19963024
[TBL] [Abstract][Full Text] [Related]
10. Identification of novel drug-resistant EGFR mutant inhibitors by in silico screening using comprehensive assessments of protein structures.
Sato T; Watanabe H; Tsuganezawa K; Yuki H; Mikuni J; Yoshikawa S; Kukimoto-Niino M; Fujimoto T; Terazawa Y; Wakiyama M; Kojima H; Okabe T; Nagano T; Shirouzu M; Yokoyama S; Tanaka A; Honma T
Bioorg Med Chem; 2012 Jun; 20(12):3756-67. PubMed ID: 22607878
[TBL] [Abstract][Full Text] [Related]
11. Multi-step virtual screening to develop selective DYRK1A inhibitors.
Koyama T; Yamaotsu N; Nakagome I; Ozawa SI; Yoshida T; Hayakawa D; Hirono S
J Mol Graph Model; 2017 Mar; 72():229-239. PubMed ID: 28129593
[TBL] [Abstract][Full Text] [Related]
12. Evaluating DAPK as a therapeutic target.
Huang Y; Chen L; Guo L; Hupp TR; Lin Y
Apoptosis; 2014 Feb; 19(2):371-86. PubMed ID: 24305735
[TBL] [Abstract][Full Text] [Related]
13. A rational approach to selective pharmacophore designing: an innovative strategy for specific recognition of Gsk3β.
Pradeep H; Rajanikant GK
Mol Divers; 2012 Aug; 16(3):553-62. PubMed ID: 22918724
[TBL] [Abstract][Full Text] [Related]
14. Searching for Novel Janus Kinase-2 Inhibitors Using a Combination of Pharmacophore Modeling, 3D-QSAR Studies and Virtual Screening.
Vrontaki E; Melagraki G; Afantitis A; Mavromoustakos T; Kollias G
Mini Rev Med Chem; 2017; 17(3):268-294. PubMed ID: 27659251
[TBL] [Abstract][Full Text] [Related]
15. De Novo Fragment Design for Drug Discovery and Chemical Biology.
Rodrigues T; Reker D; Welin M; Caldera M; Brunner C; Gabernet G; Schneider P; Walse B; Schneider G
Angew Chem Int Ed Engl; 2015 Dec; 54(50):15079-83. PubMed ID: 26486226
[TBL] [Abstract][Full Text] [Related]
16. Discovery of novel scaffolds for Rho kinase 2 inhibitor through TRFRET-based high throughput screening assay.
Oh KS; Mun J; Cho JE; Lee S; Yi KY; Lim CJ; Lee JS; Park WJ; Lee BH
Comb Chem High Throughput Screen; 2013 Jan; 16(1):37-46. PubMed ID: 22934984
[TBL] [Abstract][Full Text] [Related]
17. High throughput virtual screening and E-pharmacophore filtering in the discovery of new BACE-1 inhibitors.
Muthusamy K; Singh KhD; Chinnasamy S; Nagamani S; Krishnasamy G; Thiyagarajan C; Premkumar P; Anusuyadevi M
Interdiscip Sci; 2013 Jun; 5(2):119-26. PubMed ID: 23740393
[TBL] [Abstract][Full Text] [Related]
18. Identification of novel inhibitors for Pim-1 kinase using pharmacophore modeling based on a novel method for selecting pharmacophore generation subsets.
Shahin R; Swellmeen L; Shaheen O; Aboalhaija N; Habash M
J Comput Aided Mol Des; 2016 Jan; 30(1):39-68. PubMed ID: 26685860
[TBL] [Abstract][Full Text] [Related]
19. Fluorescence labels in kinases: a high-throughput kinase binding assay for the identification of DFG-out binding ligands.
Simard JR; Rauh D
Methods Mol Biol; 2012; 800():95-117. PubMed ID: 21964785
[TBL] [Abstract][Full Text] [Related]
20. Development and evaluation of an integrated virtual screening strategy by combining molecular docking and pharmacophore searching based on multiple protein structures.
Tian S; Sun H; Li Y; Pan P; Li D; Hou T
J Chem Inf Model; 2013 Oct; 53(10):2743-56. PubMed ID: 24010823
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]