BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

628 related articles for article (PubMed ID: 27678281)

  • 21. 3D-QSAR, Virtual Screening, Docking and Design of Dual PI3K/mTOR Inhibitors with Enhanced Antiproliferative Activity.
    Oluić J; Nikolic K; Vucicevic J; Gagic Z; Filipic S; Agbaba D
    Comb Chem High Throughput Screen; 2017 Aug; 20(4):292-303. PubMed ID: 28460621
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Identification of Pak1 inhibitors using water thermodynamic analysis.
    Biswal J; Jayaprakash P; Suresh Kumar R; Venkatraman G; Poopandi S; Rangasamy R; Jeyaraman J
    J Biomol Struct Dyn; 2020 Jan; 38(1):13-31. PubMed ID: 30661460
    [TBL] [Abstract][Full Text] [Related]  

  • 23.
    Faris A; Hadni H; Saleh BA; Khelfaoui H; Harkati D; Ait Ahsaine H; Elhallaoui M; El-Hiti GA
    J Biomol Struct Dyn; 2024 Jun; 42(9):4456-4474. PubMed ID: 37317996
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Lead generation of cysteine based mesenchymal epithelial transition (c-Met) kinase inhibitors: Using structure-based scaffold hopping, 3D-QSAR pharmacophore modeling, virtual screening, molecular docking, and molecular dynamics simulation.
    Raafat A; Mowafy S; Abouseri SM; Fouad MA; Farag NA
    Comput Biol Med; 2022 Jul; 146():105526. PubMed ID: 35487125
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Prediction of Toxoplasma gondii virulence factor ROP18 competitive inhibitors by virtual screening.
    Yin K; Zhao G; Xu C; Qiu X; Wen B; Sun H; Liu G; Liu Y; Zhao Q; Wei Q; Huang B; Yan G; Cao J
    Parasit Vectors; 2019 Mar; 12(1):98. PubMed ID: 30867024
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. 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]  

  • 28. Atom Based 3D-QSAR, Molecular Docking and Density Functional Theory Approaches to Identify Novel JNK-1 Inhibitor.
    Shylaja R; Kavitha R; Meganathan C
    Comb Chem High Throughput Screen; 2016; 19(9):771-797. PubMed ID: 27585829
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Discovery of potential Aurora-A kinase inhibitors by 3D QSAR pharmacophore modeling, virtual screening, docking, and MD simulation studies.
    Swamy P M G; Abbas N; Dhiwar PS; Singh E; Ghara A; Das A
    J Biomol Struct Dyn; 2023 Jan; 41(1):125-146. PubMed ID: 34809538
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification of dual kinase inhibitors of CK2 and GSK3β: combined qualitative and quantitative pharmacophore modeling approach.
    Pardhi T; Vasu K
    J Biomol Struct Dyn; 2018 Jan; 36(1):177-194. PubMed ID: 27960601
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Identification of non-resistant ROS-1 inhibitors using structure based pharmacophore analysis.
    Pathak D; Chadha N; Silakari O
    J Mol Graph Model; 2016 Nov; 70():85-93. PubMed ID: 27693947
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Discovery of promising FtsZ inhibitors by E-pharmacophore, 3D-QSAR, molecular docking study, and molecular dynamics simulation.
    Qiu Y; Zhou L; Hu Y; Bao Y
    J Recept Signal Transduct Res; 2019 Apr; 39(2):154-166. PubMed ID: 31355691
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Structure-based design of specific inhibitors of Janus kinase 3 as apoptosis-inducing antileukemic agents.
    Sudbeck EA; Liu XP; Narla RK; Mahajan S; Ghosh S; Mao C; Uckun FM
    Clin Cancer Res; 1999 Jun; 5(6):1569-82. PubMed ID: 10389946
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Discovery of a Natural Syk Inhibitor from Chinese Medicine through a Docking-Based Virtual Screening and Biological Assay Study.
    Wang X; Guo J; Ning Z; Wu X
    Molecules; 2018 Nov; 23(12):. PubMed ID: 30487406
    [TBL] [Abstract][Full Text] [Related]  

  • 36. High-throughput virtual screening of phenylpyrimidine derivatives as selective JAK3 antagonists using computational methods.
    Faris A; Ibrahim IM; Hadni H; Elhallaoui M
    J Biomol Struct Dyn; 2023 Aug; ():1-26. PubMed ID: 37539779
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A combination of pharmacophore modeling, atom-based 3D-QSAR, molecular docking and molecular dynamics simulation studies on PDE4 enzyme inhibitors.
    Tripuraneni NS; Azam MA
    J Biomol Struct Dyn; 2016 Nov; 34(11):2481-92. PubMed ID: 26587754
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Ligand-based pharmacophore modelling and virtual screening for the identification of amyloid-beta diagnostic molecules.
    Marondedze EF; Govender KK; Govender PP
    J Mol Graph Model; 2020 Dec; 101():107711. PubMed ID: 32898834
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Pharmacophore modeling and virtual screening to identify potential RET kinase inhibitors.
    Shih KC; Shiau CW; Chen TS; Ko CH; Lin CL; Lin CY; Hwang CS; Tang CY; Chen WR; Huang JW
    Bioorg Med Chem Lett; 2011 Aug; 21(15):4490-7. PubMed ID: 21724393
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Pharmacophore development, drug-likeness analysis, molecular docking, and molecular dynamics simulations for identification of new CK2 inhibitors.
    Hammad S; Bouaziz-Terrachet S; Meghnem R; Meziane D
    J Mol Model; 2020 May; 26(6):160. PubMed ID: 32472293
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 32.