Inverse screening of Simvastatin kinase targets from glioblastoma druggable kinome

被引:9
|
作者
Li, Yi [1 ]
Wei, Xu [1 ]
Wang, Qiuhong [1 ]
Li, Wei [1 ]
Yang, Tao [1 ]
机构
[1] Zunyi Med Univ, Affiliated Hosp 2, Dept Neurosurg, Zunyi 563006, Guizhou, Peoples R China
关键词
Simvastatin; Glioblastoma; Protein kinase; Inverse target discovery; Molecular modeling; PEPTIDE BINDING-AFFINITY; MOLECULAR-MECHANISM; DRUG-RESISTANCE; LUNG-CANCER; EGFR; PREDICTION; RECOGNITION; MUTATIONS; ACCURACY; DOCKING;
D O I
10.1016/j.compbiolchem.2020.107243
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The statin drug Simvastatin is a HMG-CoA reductase inhibitor that has been widely used to lower blood lipid. However, the drug is clinically observed to reposition a significant suppressing potency on glioblastoma (GBM) by unexpectedly targeting diverse kinase pathways involved in GBM tumorigensis. Here, an inverse screening strategy is described to discover potential kinase targets of Simvastatin. Various human protein kinases implicated in GBM are enriched to define a druggable kinome; the binding behavior of Simvastatin to the kinome is profiled systematically via an integrative computational approach, from which most kinases have only low or moderate binding potency to Simvastatin, while only few are identified as promising kinase hits. It is revealed that Simvastatin can potentially interact with certain known targets or key regulators of GBM such as ErbB, c-Src and FGFR signaling pathways, but exhibit low affinity to the well-established GBM target of PI3K/Akt/mTOR pathway. Further assays determine that Simvastatin can inhibit kinase hits EGFR, MET, SRC and HER2 at nanomolar level, which are comparable with those of cognate kinase inhibitors. Structural analyses reveal that the sophisticated T790 M gatekeeper mutation can considerably reduce Simvastatin sensitivity to EGFR by inducing the ligand change between different binding modes.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Inverse in silico–in vitro fishing of unexpected paroxetine kinase targets from tumor druggable kinome
    Weiyan Zhou
    Hongbo Yang
    Haifeng Wang
    Journal of Molecular Modeling, 2020, 26
  • [2] Inverse in silico-in vitro fishing of unexpected paroxetine kinase targets from tumor druggable kinome
    Zhou, Weiyan
    Yang, Hongbo
    Wang, Haifeng
    JOURNAL OF MOLECULAR MODELING, 2020, 26 (08)
  • [3] Use of Apatinib as a Bait to Fish its Unexpected Kinase Targets from the Hepatocellular Carcinoma Druggable Kinome
    Liu, Rui
    Liu, Lijun
    JOURNAL OF COMPUTATIONAL BIOPHYSICS AND CHEMISTRY, 2023, 22 (04): : 439 - 451
  • [4] Protein kinase CK2: a newcomer in the 'druggable kinome'
    Pagano, M. A.
    Cesaro, L.
    Meggio, F.
    Pinna, L. A.
    BIOCHEMICAL SOCIETY TRANSACTIONS, 2006, 34 : 1303 - 1306
  • [5] Inverse in silico screening for identification of kinase inhibitor targets
    Zahler, Stefan
    Tietze, Simon
    Totzke, Frank
    Kubbutat, Michael
    Meijer, Laurent
    Vollmar, Angelika M.
    Apostolakis, Joannis
    CHEMISTRY & BIOLOGY, 2007, 14 (11): : 1207 - 1214
  • [6] Kinome-level screening identifies kinase targets for enhancing transient transgene expression
    Christensen, Matthew
    Elmer, Jacob
    Eaton, Seron
    Gonzalez-Malerva, Laura
    LaBaer, Joshua
    Rege, Kaushal
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2015, 249
  • [7] Kinome Profiling Identifies Druggable Targets for Novel Human Cytomegalovirus (HCMV) Antivirals
    Arend, Kyle C.
    Lenarcic, Erik M.
    Vincent, Heather A.
    Rashid, Naim
    Lazear, Eric
    McDonald, Ian M.
    Gilbert, Thomas S. K.
    East, Michael P.
    Herring, Laura E.
    Johnson, Gary L.
    Graves, Lee M.
    Moorman, Nathaniel J.
    MOLECULAR & CELLULAR PROTEOMICS, 2017, 16 (04) : S263 - S276
  • [8] Kinase profiling of liposarcomas using RNAi and drug screening assays identified druggable targets
    Deepika Kanojia
    Manoj Garg
    Jacqueline Martinez
    Anand M.T.
    Samuel B. Luty
    Ngan B. Doan
    Jonathan W. Said
    Charles Forscher
    Jeffrey W. Tyner
    H. Phillip Koeffler
    Journal of Hematology & Oncology, 10
  • [9] Kinase profiling of liposarcomas using RNAi and drug screening assays identified druggable targets
    Kanojia, Deepika
    Garg, Manoj
    Martinez, Jacqueline
    Anand, M. T.
    Luty, Samuel B.
    Doan, Ngan B.
    Said, Jonathan W.
    Forscher, Charles
    Tyner, Jeffrey W.
    Koeffler, H. Phillip
    JOURNAL OF HEMATOLOGY & ONCOLOGY, 2017, 10
  • [10] Kinome profiling of cholangiocarcinoma organoids reveals potential druggable targets that hold promise for treatment stratification
    Lieshout, Ruby
    Faria, Alessandra V. S.
    Peppelenbosch, Maikel P.
    van der Laan, Luc J. W.
    Verstegen, Monique M. A.
    Fuhler, Gwenny M.
    MOLECULAR MEDICINE, 2022, 28 (01)