Identification of chemosensitizing agents that block DNA repair by the Fanconi Anemia/Bloom Dissolvasome complex

鉴定通过范可尼贫血/布卢姆溶解体复合物阻断 DNA 修复的化学增敏剂

基本信息

  • 批准号:
    9191106
  • 负责人:
  • 金额:
    $ 3.35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-09-01 至 2019-08-31
  • 项目状态:
    已结题

项目摘要

Abstract: Several established cancer treatments take advantage of the hypersensitivity of cancer cells to DNA damage by inducing genome-wide damage to cellular DNA. However, tumors often evolve resistance to DNA-damaging chemotherapeutics by elevating the activities of DNA repair pathways, becoming dependent on specific repair activities for survival. These observations make therapeutics that selectively target individual DNA repair proteins, especially those involved in therapeutic resistance, highly valuable. Inhibitors that block activity of the DNA repair protein poly-ADP ribose polymerase are one example of specific repair inhibitors that show great promise as chemotherapeutics. This proposal extends this approach to target a novel chemotherapeutic DNA repair pathway by developing small-molecules that block the critical interface linking two DNA repair complexes known to be involved in tumor chemotherapeutic resistance -- the Fanconi Anemia complex and the Bloom Dissolvasome. X-ray crystallographic, biochemical, and cell biological approaches have revealed the critical nature of this higher-order complex for cellular genomic stability and its promise as a novel therapeutic target. In addition, I have developed an excellent high throughput screening ready strategy that has already identified a small number of inhibitors in a pilot study. In this proposal, I will carry out a large-scale high- throughput chemical screen to identify protein-protein interaction inhibitors that disrupt the formation of the Fanconi Anemia-Bloom Dissolvasome supercomplex. Biochemical, structural, and cellular approaches will be used to assess the potency and mechanisms of action of the inhibitors and to drive rational lead improvement. The chemotherapeutic potential of the lead compounds will be determined by measuring their effects on the specific types of DNA damage repaired by the supercomplex and by assessing whether they selectively inhibit growth of human cancer cell lines as monotherapies and as adjuvants with clinical chemotherapeutics.
文摘:

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Andrew Ford Voter其他文献

Andrew Ford Voter的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Andrew Ford Voter', 18)}}的其他基金

Identification of chemosensitizing agents that block DNA repair by the Fanconi Anemia/Bloom Dissolvasome complex
鉴定通过范可尼贫血/布卢姆溶解体复合物阻断 DNA 修复的化学增敏剂
  • 批准号:
    9527070
  • 财政年份:
    2016
  • 资助金额:
    $ 3.35万
  • 项目类别:

相似海外基金

Applications of Deep Learning for Binding Affinity Prediction
深度学习在结合亲和力预测中的应用
  • 批准号:
    2887848
  • 财政年份:
    2023
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Studentship
Metalloenzyme binding affinity prediction with VM2
使用 VM2 预测金属酶结合亲和力
  • 批准号:
    10697593
  • 财政年份:
    2023
  • 资助金额:
    $ 3.35万
  • 项目类别:
Building a binding community - Capacity and capability for affinity and kinetic analysis of molecular interactions.
建立结合社区 - 分子相互作用的亲和力和动力学分析的能力和能力。
  • 批准号:
    MR/X013227/1
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Research Grant
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutions
使用动态网络模型定量预测由长程氨基酸取代引起的结合亲和力/特异性的变化
  • 批准号:
    10797940
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutions
使用动态网络模型定量预测由长距离氨基酸取代引起的结合亲和力/特异性的变化
  • 批准号:
    10502084
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutions
使用动态网络模型定量预测由长距离氨基酸取代引起的结合亲和力/特异性的变化
  • 批准号:
    10707418
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
Binding affinity of inositol phosphate analogs to protein toxin TcdB
磷酸肌醇类似物与蛋白质毒素 TcdB 的结合亲和力
  • 批准号:
    573604-2022
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
    University Undergraduate Student Research Awards
Computational predictions of thermostability and binding affinity changes in enzymes
酶热稳定性和结合亲和力变化的计算预测
  • 批准号:
    2610945
  • 财政年份:
    2021
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Studentship
I-Corps: Physics-Based Binding Affinity Estimator
I-Corps:基于物理的结合亲和力估计器
  • 批准号:
    2138667
  • 财政年份:
    2021
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Standard Grant
Computational modelling and simulation of antibodies to enhance binding affinity of a potential Burkholderia pseudomallei therapeutic
抗体的计算模型和模拟,以增强潜在的鼻疽伯克霍尔德氏菌治疗剂的结合亲和力
  • 批准号:
    2750554
  • 财政年份:
    2021
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Studentship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了