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Characterizing the Interaction of Small-Molecule Kinase Inhibitors with Membranes to Understand their Specific Cellular Effects

Characterizing the Interaction of Small-Molecule Kinase Inhibitors with Membranes to Understand their Specific Cellular Effects
表征小分子激酶抑制剂与膜的相互作用,以了解其特定的细胞效应
批准号:
412658577
负责人:
Dr. Peter Müller
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2021-12-31

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中文摘要
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英文摘要
Protein kinases are one of the biologically most important protein families which play a significant role in the regulation of nearly all physiological processes since they modulate the function of proteins. Due to this unique importance, mutation(s) or dysregulation(s) of protein kinases are a cause of many human diseases. Therefore, members of this family of enzymes have become very important drug targets over the past two decades. One strategy to treat diseases was to develop and apply kinase inhibitors (small molecule protein kinase inhibitors), which are mainly applied in cancer therapy. For most of these drugs, clinical data and structure-activity relationships have been reported and cellular mechanisms have been proposed to explain their antitumor activity. However, the current knowledge about the interaction and impact of these drugs with/on membranes especially with regard to the role of membrane lipids is insufficient. This is surprising since (i) (plasma) membranes are the first target of interaction and (ii) an impact of the drugs on the target kinase and/or off-targets can be assumed to be modulated by membranes. Therefore, the project aims to characterize the interaction of selected small-molecule kinase inhibitors with lipid membranes. Drugs will be selected on the basis of different chemical structures suggesting a different pattern of membrane interactions. Experiments are planned to provide qualitative and quantitative data on lipid vesicles and on cells using different biophysical approaches. The influence of the drug molecules on structural and dynamical membrane properties as well as their membrane position and orientation will be investigated in different lipid membrane compositions. Experiments on cells will show how the results on model membranes can be translated into the physiological system. Molecular dynamics simulations shall provide further insights of the drug impact on an atomistic level. The experiments will highlight the role of membrane lipids for the impact of small-molecule kinase inhibitors. We expect that the results will (i) allow to set up molecular models of drug-membrane interaction, (ii) give the basis for proposing modifications of the molecule structure in order to improve drug impact, and (iii) contribute to a better understanding of the cellular effects of these molecules with regard to their efficacy but also to their side effects and interactions with off-targets.
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Die Rolle von ABC-Proteinen bei der transversalen Dynamik von Cholesterol in Membranen
  • 批准号:
    5439416
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2004
  • 负责人:
    Dr. Peter Müller
  • 依托单位:
Struktur und Genom des Proteoms von Mycobacterium tuberculosis
  • 批准号:
    5350396
  • 项目类别:
    Research Fellowships
  • 资助金额:
    $0.0万
  • 财政年份:
    2001
  • 负责人:
    Dr. Peter Müller
  • 依托单位:
Wechselwirkung von Seminalplasmaproteinen verschiedener Säugetierarten mit Membranen
  • 批准号:
    5309438
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    1997
  • 负责人:
    Dr. Peter Müller
  • 依托单位:
New fluorescent cholesterol analogs for cell biological research: synthesis, characterization, and application
  • 批准号:
    452842040
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    --
  • 负责人:
    Dr. Peter Müller
  • 依托单位:
国内基金
海外基金
基于interaction和backbone的NP类MAS问题解集表示、复杂性统计与高效算法研究
  • 批准号:
    11201019
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2012
  • 负责人:
    韦卫
  • 依托单位:
Reality-based Interaction用户界面模型和评估方法研究
  • 批准号:
    61170182
  • 项目类别:
    面上项目
  • 资助金额:
    57.0万元
  • 批准年份:
    2011
  • 负责人:
    田丰
  • 依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data