BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

172 related articles for article (PubMed ID: 30754680)

  • 1. In Silico Study Probes Potential Inhibitors of Human Dihydrofolate Reductase for Cancer Therapeutics.
    Rana RM; Rampogu S; Zeb A; Son M; Park C; Lee G; Yoon S; Baek A; Parameswaran S; Park SJ; Lee KW
    J Clin Med; 2019 Feb; 8(2):. PubMed ID: 30754680
    [TBL] [Abstract][Full Text] [Related]  

  • 2. In Silico Study Identified Methotrexate Analog as Potential Inhibitor of Drug Resistant Human Dihydrofolate Reductase for Cancer Therapeutics.
    Rana RM; Rampogu S; Abid NB; Zeb A; Parate S; Lee G; Yoon S; Kim Y; Kim D; Lee KW
    Molecules; 2020 Jul; 25(15):. PubMed ID: 32752079
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pharmacophore-based virtual screening and density functional theory approach to identifying novel butyrylcholinesterase inhibitors.
    Sakkiah S; Lee KW
    Acta Pharmacol Sin; 2012 Jul; 33(7):964-78. PubMed ID: 22684028
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Investigation of non-hydroxamate scaffolds against HDAC6 inhibition: A pharmacophore modeling, molecular docking, and molecular dynamics simulation approach.
    Zeb A; Park C; Son M; Rampogu S; Alam SI; Park SJ; Lee KW
    J Bioinform Comput Biol; 2018 Jun; 16(3):1840015. PubMed ID: 29945500
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computational Simulations Identified Two Candidate Inhibitors of Cdk5/p25 to Abrogate Tau-associated Neurological Disorders.
    Zeb A; Son M; Yoon S; Kim JH; Park SJ; Lee KW
    Comput Struct Biotechnol J; 2019; 17():579-590. PubMed ID: 31073393
    [TBL] [Abstract][Full Text] [Related]  

  • 6. In silico screening of inhibitors against human dihydrofolate reductase to identify potential anticancer compounds.
    Soofi A; Rezaei-Tavirani M; Safari-Alighiarloo N
    J Biomol Struct Dyn; 2023; 41(23):14497-14509. PubMed ID: 36883866
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pharmacophore modeling, molecular docking, and molecular dynamics simulation approaches for identifying new lead compounds for inhibiting aldose reductase 2.
    Sakkiah S; Thangapandian S; Lee KW
    J Mol Model; 2012 Jul; 18(7):3267-82. PubMed ID: 22249747
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Pharmacophore modeling, virtual screening, molecular docking studies and density functional theory approaches to identify novel ketohexokinase (KHK) inhibitors.
    Kavitha R; Karunagaran S; Chandrabose SS; Lee KW; Meganathan C
    Biosystems; 2015 Dec; 138():39-52. PubMed ID: 26521124
    [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. Exploration for novel inhibitors showing back-to-front approach against VEGFR-2 kinase domain (4AG8) employing molecular docking mechanism and molecular dynamics simulations.
    Rampogu S; Baek A; Zeb A; Lee KW
    BMC Cancer; 2018 Mar; 18(1):264. PubMed ID: 29514608
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Ligand-based pharmacophore modeling and Bayesian approaches to identify c-Src inhibitors.
    Sakkiah S; Arullaperumal V; Hwang S; Lee KW
    J Enzyme Inhib Med Chem; 2014 Feb; 29(1):69-80. PubMed ID: 23432516
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pharmacophore modeling coupled with molecular dynamic simulation approach to identify new leads for meprin-β metalloprotease.
    Chaudhuri A; Hudait N; Chakraborty SS
    Comput Biol Chem; 2019 Jun; 80():292-306. PubMed ID: 31054542
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Discovery of novel NAMPT inhibitors based on pharmacophore modeling and virtual screening techniques.
    Yi Q; Zhou L; Shao X; Wang T; Bao G; Shi H; Zhou S; Li X; Tian Y
    Comb Chem High Throughput Screen; 2014; 17(10):868-78. PubMed ID: 25413783
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Novel chemical scaffolds of the tumor marker AKR1B10 inhibitors discovered by 3D QSAR pharmacophore modeling.
    Kumar R; Son M; Bavi R; Lee Y; Park C; Arulalapperumal V; Cao GP; Kim HH; Suh JK; Kim YS; Kwon YJ; Lee KW
    Acta Pharmacol Sin; 2015 Aug; 36(8):998-1012. PubMed ID: 26051108
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Pharmacophore mapping of a series of 2,4-diamino-5-deazapteridine inhibitors of Mycobacterium avium complex dihydrofolate reductase.
    Debnath AK
    J Med Chem; 2002 Jan; 45(1):41-53. PubMed ID: 11754578
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Ligand-based virtual screening and molecular docking studies to identify the critical chemical features of potent cathepsin D inhibitors.
    Sakkiah S; Thangapandian S; Lee KW
    Chem Biol Drug Des; 2012 Jul; 80(1):64-79. PubMed ID: 22269155
    [TBL] [Abstract][Full Text] [Related]  

  • 18. In silico screening and study of novel ERK2 inhibitors using 3D QSAR, docking and molecular dynamics.
    Larif S; Salem CB; Hmouda H; Bouraoui K
    J Mol Graph Model; 2014 Sep; 53():1-12. PubMed ID: 25064438
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 3D QSAR pharmacophore-based virtual screening for the identification of potential inhibitors of tyrosinase.
    Ghayas S; Ali Masood M; Parveen R; Aquib M; Farooq MA; Banerjee P; Sambhare S; Bavi R
    J Biomol Struct Dyn; 2020 Jul; 38(10):2916-2927. PubMed ID: 31334690
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Discover potential inhibitors for PFKFB3 using 3D-QSAR, virtual screening, molecular docking and molecular dynamics simulation.
    Bao Y; Zhou L; Dai D; Zhu X; Hu Y; Qiu Y
    J Recept Signal Transduct Res; 2018; 38(5-6):413-431. PubMed ID: 30822195
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.