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 *

534 related articles for article (PubMed ID: 27981900)

  • 1. 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]  

  • 2. In silico exploration of c-KIT inhibitors by pharmaco-informatics methodology: pharmacophore modeling, 3D QSAR, docking studies, and virtual screening.
    Chaudhari P; Bari S
    Mol Divers; 2016 Feb; 20(1):41-53. PubMed ID: 26416560
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Ligand-based and e-pharmacophore modeling, 3D-QSAR and hierarchical virtual screening to identify dual inhibitors of spleen tyrosine kinase (Syk) and janus kinase 3 (JAK3).
    Kaur M; Silakari O
    J Biomol Struct Dyn; 2017 Nov; 35(14):3043-3060. PubMed ID: 27678281
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Structural Investigation of Vinca Domain Tubulin Binders by Pharmacophore, Atom based QSAR, Docking and Molecular Dynamics Simulations.
    Athar M; Lone MY; Khedkar VM; Radadiya A; Shah A; Jha PC
    Comb Chem High Throughput Screen; 2017; 20(8):682-695. PubMed ID: 28486912
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of potential PKC inhibitors through pharmacophore designing, 3D-QSAR and molecular dynamics simulations targeting Alzheimer's disease.
    Iqbal S; Anantha Krishnan D; Gunasekaran K
    J Biomol Struct Dyn; 2018 Nov; 36(15):4029-4044. PubMed ID: 29182053
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Pharmacophore based virtual screening for identification of effective inhibitors to combat HPV 16 E6 driven cervical cancer.
    Mohan A; Krishnamoorthy S; Sabanayagam R; Schwenk G; Feng E; Ji HF; Muthusami S
    Eur J Pharmacol; 2023 Oct; 957():175961. PubMed ID: 37549730
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Pharmacophore modeling, virtual screening, docking and in silico ADMET analysis of protein kinase B (PKB β) inhibitors.
    Vyas VK; Ghate M; Goel A
    J Mol Graph Model; 2013 May; 42():17-25. PubMed ID: 23507201
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Discovery of Camptothecin Based Topoisomerase I Inhibitors: Identification Using an Atom Based 3D-QSAR, Pharmacophore Modeling, Virtual Screening and Molecular Docking Approach.
    Dev S; Dhaneshwar SR; Mathew B
    Comb Chem High Throughput Screen; 2016; 19(9):752-763. PubMed ID: 27515040
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pharmacophore generation, atom-based 3D-QSAR, molecular docking and molecular dynamics simulation studies on benzamide analogues as FtsZ inhibitors.
    Tripathy S; Azam MA; Jupudi S; Sahu SK
    J Biomol Struct Dyn; 2018 Sep; 36(12):3218-3230. PubMed ID: 28938860
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pharmacophore modeling, multiple docking, and molecular dynamics studies on Wee1 kinase inhibitors.
    Hu Y; Zhou L; Zhu X; Dai D; Bao Y; Qiu Y
    J Biomol Struct Dyn; 2019 Jul; 37(10):2703-2715. PubMed ID: 30052133
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Structure-based identification of potent VEGFR-2 inhibitors from in vivo metabolites of a herbal ingredient.
    Dash R; Junaid M; Mitra S; Arifuzzaman M; Hosen SMZ
    J Mol Model; 2019 Mar; 25(4):98. PubMed ID: 30904971
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Exploration of the structural requirements of HIV-protease inhibitors using pharmacophore, virtual screening and molecular docking approaches for lead identification.
    Islam MA; Pillay TS
    J Mol Graph Model; 2015 Mar; 56():20-30. PubMed ID: 25541527
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Identification of novel PI3Kδ inhibitors by docking, ADMET prediction and molecular dynamics simulations.
    Liu YY; Feng XY; Jia WQ; Jing Z; Xu WR; Cheng XC
    Comput Biol Chem; 2019 Feb; 78():190-204. PubMed ID: 30557817
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Epidermal growth factor receptor (EGFR) structure-based bioactive pharmacophore models for identifying next-generation inhibitors against clinically relevant EGFR mutations.
    Panicker PS; Melge AR; Biswas L; Keechilat P; Mohan CG
    Chem Biol Drug Des; 2017 Oct; 90(4):629-636. PubMed ID: 28303669
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 27.