423 related articles for article (PubMed ID: 25239735)
1. Recent advances in structure-based drug design and virtual screening of VEGFR tyrosine kinase inhibitors.
Hoi PM; Li S; Vong CT; Tseng HH; Kwan YW; Lee SM
Methods; 2015 Jan; 71():85-91. PubMed ID: 25239735
[TBL] [Abstract][Full Text] [Related]
2. Molecular dynamics guided insight, binding free energy calculations and pharmacophore-based virtual screening for the identification of potential VEGFR2 inhibitors.
Rathi E; Kumar A; Kini SG
J Recept Signal Transduct Res; 2019; 39(5-6):415-433. PubMed ID: 31755336
[TBL] [Abstract][Full Text] [Related]
3. Pharmacophore and Docking Guided Virtual Screening Study for Discovery of Type I Inhibitors of VEGFR-2 Kinase.
Bhojwani HR; Joshi UJ
Curr Comput Aided Drug Des; 2017; 13(3):186-207. PubMed ID: 27981900
[TBL] [Abstract][Full Text] [Related]
4. Ligand-Based Pharmacophore Modeling, Molecular Docking, and Molecular Dynamic Studies of Dual Tyrosine Kinase Inhibitor of EGFR and VEGFR2.
Sangande F; Julianti E; Tjahjono DH
Int J Mol Sci; 2020 Oct; 21(20):. PubMed ID: 33096664
[TBL] [Abstract][Full Text] [Related]
5. Assessing an ensemble docking-based virtual screening strategy for kinase targets by considering protein flexibility.
Tian S; Sun H; Pan P; Li D; Zhen X; Li Y; Hou T
J Chem Inf Model; 2014 Oct; 54(10):2664-79. PubMed ID: 25233367
[TBL] [Abstract][Full Text] [Related]
6. Pharmacophore modeling and virtual screening studies for new VEGFR-2 kinase inhibitors.
Lee K; Jeong KW; Lee Y; Song JY; Kim MS; Lee GS; Kim Y
Eur J Med Chem; 2010 Nov; 45(11):5420-7. PubMed ID: 20869793
[TBL] [Abstract][Full Text] [Related]
7. Design, synthesis, biological evaluation, and molecular modeling study of 4-alkoxyquinazoline derivatives as potential VEGFR2 kinase inhibitors.
Sun J; Li DD; Li JR; Fang F; Du QR; Qian Y; Zhu HL
Org Biomol Chem; 2013 Nov; 11(44):7676-86. PubMed ID: 24108070
[TBL] [Abstract][Full Text] [Related]
8. A combination of 2D similarity search, pharmacophore, and molecular docking techniques for the identification of vascular endothelial growth factor receptor-2 inhibitors.
Ai G; Tian C; Deng D; Fida G; Chen H; Ma Y; Ding L; Gu Y
Anticancer Drugs; 2015 Apr; 26(4):399-409. PubMed ID: 25569705
[TBL] [Abstract][Full Text] [Related]
9. Discovery of indenopyrazoles as EGFR and VEGFR-2 tyrosine kinase inhibitors by in silico high-throughput screening.
Usui T; Ban HS; Kawada J; Hirokawa T; Nakamura H
Bioorg Med Chem Lett; 2008 Jan; 18(1):285-8. PubMed ID: 17983745
[TBL] [Abstract][Full Text] [Related]
10. Discovery of new 4-alkoxyquinazoline-based derivatives as potent VEGFR2 inhibitors.
Yin Y; Sha S; Wang YT; Wu X; Wang SF; Qiao F; Lv PC; Zhu HL
Chem Biol Drug Des; 2015 Nov; 86(5):1323-9. PubMed ID: 26032487
[TBL] [Abstract][Full Text] [Related]
11. Discovery of novel dual VEGFR2 and Src inhibitors using a multistep virtual screening approach.
Chen S; Qin C; Sin JE; Yang X; Tao L; Zeng X; Zhang P; Gao CM; Jiang YY; Zhang C; Chen YZ; Chui WK
Future Med Chem; 2017 Jan; 9(1):7-24. PubMed ID: 27995811
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 3D-QSAR pharmacophore modelling, virtual screening and docking studies for lead discovery of a novel scaffold for VEGFR 2 inhibitors: Design, synthesis and biological evaluation.
Sobhy MK; Mowafy S; Lasheen DS; Farag NA; Abouzid KAM
Bioorg Chem; 2019 Aug; 89():102988. PubMed ID: 31146197
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Discovery of novel vascular endothelial growth factor receptor 2 inhibitors: a virtual screening approach.
Zhang L; Wang X; Feng J; Jia Y; Xu F; Xu W
Chem Biol Drug Des; 2012 Dec; 80(6):893-901. PubMed ID: 22913881
[TBL] [Abstract][Full Text] [Related]
16. An integrated virtual screening approach for VEGFR-2 inhibitors.
Zhang Y; Yang S; Jiao Y; Liu H; Yuan H; Lu S; Ran T; Yao S; Ke Z; Xu J; Xiong X; Chen Y; Lu T
J Chem Inf Model; 2013 Dec; 53(12):3163-77. PubMed ID: 24266594
[TBL] [Abstract][Full Text] [Related]
17. De novo design of VEGFR-2 tyrosine kinase inhibitors based on a linked-fragment approach.
Liu YZ; Wang XL; Wang XY; Yu RL; Liu DQ; Kang CM
J Mol Model; 2016 Sep; 22(9):222. PubMed ID: 27558799
[TBL] [Abstract][Full Text] [Related]
18. Identification of tyrosine kinase inhibitors from Panax bipinnatifidus and Panax pseudoginseng for RTK-HER2 and VEGFR2 receptors, by in silico approach.
Paul D; Mahanta S; Tag H; Das SK; Das Gupta D; Tanti B; Ananthan R; Das R; Jambhulkar S; Hui PK
Mol Divers; 2022 Aug; 26(4):1933-1955. PubMed ID: 34554395
[TBL] [Abstract][Full Text] [Related]
19. Integrating ligand-based and protein-centric virtual screening of kinase inhibitors using ensembles of multiple protein kinase genes and conformations.
Dixit A; Verkhivker GM
J Chem Inf Model; 2012 Oct; 52(10):2501-15. PubMed ID: 22992037
[TBL] [Abstract][Full Text] [Related]
20. In silico insights into the identification of potential novel angiogenic inhibitors against human VEGFR-2: a new SAR-based hierarchical clustering approach.
Konidala KK; Bommu UD; Pabbaraju N
J Recept Signal Transduct Res; 2018 Aug; 38(4):372-383. PubMed ID: 30396316
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]