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Establishment of platform for screening insulin-like growth factor-1 receptor inhibitors and evaluation of novel inhibitors.

ABSTRACT: AIM: The insulin-like growth factor-1 receptor (IGF1R) is over-expressed in a wide variety of tumors and contributes to tumor cell proliferation, metastasis and drug resistance. The aim of this study was to establish a sensitive screening platform to identify novel IGF1R inhibitors. METHODS: The catalytic domain of IGF1R was expressed using the Bac-to-Bac baculovirus expression system. The screening platform for IGF1R inhibitors was established based on ELISA. The binding profile of IGF1R with the inhibitors was predicted with molecular docking and then subjected to the surface plasmon resonance (SPR) approach. The growth inhibition of cancer cells by the inhibitors was assessed with MTT assay. Apoptosis was analyzed using flow cytometry and Western blotting. RESULTS: A naturally occurring small molecule compound hematoxylin was identified as the most potent inhibitor (IC?? value=1.8±0.1 ?mol/L) within a library of more than 200 compounds tested. Molecular simulation predicted the possible binding mode of hematoxylin with IGF1R. An SPR assay further confirmed that hematoxylin bound directly to IGF1R with high binding affinity (Kd=4.2 × 10?? mol/L). In HL-60 cancer cells, hematoxylin inactivated the phosphorylation of IGF1R and downstream signaling and therefore suppressed cell proliferation. Mechanistic studies revealed that hematoxylin induced apoptosis in HL-60 cells via both extrinsic and intrinsic pathways. CONCLUSION: A simple, sensitive ELISA-based screening platform for identifying IGF1R inhibitors was established. Hematoxylin was identified as a promising IGF1R inhibitor with effective antitumor activity that deserves further investigation.

SUBMITTER: Tong LJ

PROVIDER: S-EPMC4003118 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature

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Establishment of platform for screening insulin-like growth factor-1 receptor inhibitors and evaluation of novel inhibitors.

Tong Lin-jiang LJ Xie Hua H Peng Ting T Liu Xiao-feng XF Xin Xian-liang XL Huang Xun X Chen Si-meng SM Liu Hong-yan HY Li Hong-lin HL Geng Mei-yu MY Yin Ming M Ding Jian J

Acta pharmacologica Sinica 20110606 7

<h4>Aim</h4>The insulin-like growth factor-1 receptor (IGF1R) is over-expressed in a wide variety of tumors and contributes to tumor cell proliferation, metastasis and drug resistance. The aim of this study was to establish a sensitive screening platform to identify novel IGF1R inhibitors.<h4>Methods</h4>The catalytic domain of IGF1R was expressed using the Bac-to-Bac baculovirus expression system. The screening platform for IGF1R inhibitors was established based on ELISA. The binding profile of ...[more]

PMID: 21643004

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Project description:BackgroundHuman epidermal growth factor receptor-2 (HER2) is a trans-membrane receptor like protein, and aberrant signaling of HER2 is implicated in many human cancers, such as ovarian cancer, gastric cancer, and prostate cancer, most notably breast cancer. Moreover, it has been in the spotlight in the recent years as a promising new target for therapy of breast cancer.ObjectiveSince virtual screening has become an integral part of the drug discovery process, it is of great significant to identify novel HER2 inhibitors by structure-based virtual screening.Materials and methodsIn this study, we carried out a series of elegant bioinformatics approaches, such as virtual screening and molecular dynamics (MD) simulations to identify HER2 inhibitors from Food and Drug Administration-approved small molecule drug as potential "new use" drugs.ResultsMolecular docking identified top 10 potential drugs which showed spectrum affinity to HER2. Moreover, MD simulations suggested that ZINC08214629 (Nonoxynol-9) and ZINC03830276 (Benzonatate) might exert potential inhibitory effects against HER2-targeted anti-breast cancer therapeutics.ConclusionTogether, our findings may provide successful application of virtual screening studies in the lead discovery process, and suggest that our discovered small molecules could be effective HER2 inhibitor candidates for further study.SummaryA series of elegant bioinformatics approaches, including virtual screening and molecular dynamics (MD) simulations were took advantage to identify human epidermal growth factor receptor-2 (HER2) inhibitors. Molecular docking recognized top 10 candidate compounds, which showed spectrum affinity to HER2. Further, MD simulations suggested that ZINC08214629 (Nonoxynol-9) and ZINC03830276 (Benzonatate) in candidate compounds were identified as potential "new use" drugs against HER2-targeted anti-breast cancer therapeutics. Abbreviations used: HER2: Human epidermal growth factor receptor-2, FDA: Food and Drug Administration, PDB: Protein Database Bank, RMSDs: Root mean square deviations, SPC: Single point charge, PME: Particle mesh Ewald, NVT: Constant volume, NPT: Constant pressure, RMSF: Root-mean-square fluctuation.

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Establishment of platform for screening insulin-like growth factor-1 receptor inhibitors and evaluation of novel inhibitors.

Publications

Establishment of platform for screening insulin-like growth factor-1 receptor inhibitors and evaluation of novel inhibitors.

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