CHARACTERIZING THE CONFORMATIONAL PREFERENCES OF P53 PEPTIDES
CHARACTERIZING THE CONFORMATIONAL PREFERENCES OF P53 PEPTIDES
批准号:
7956234
负责人:
LILLIAN T CHONG
金额:
$0.08万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-01 至 2010-07-31
关键词:
Biomedical ResearchComputer Retrieval of Information on Scientific Projects DatabaseDevelopmentFundingGrantHigh Performance ComputingInstitutionMindPeptide FragmentsPeptidesProtein BindingProtein p53ProteinsResearchResearch PersonnelResourcesRestRunningServicesSourceTP53 geneTranscriptional Activation DomainUnited States National Institutes of HealthWritingcomputing resourcesmolecular dynamicspreferencesimulation
中文摘要
这个子项目是许多研究子项目中利用
资源由NIH/NCRR资助的中心拨款提供。子项目和
调查员(PI)可能从NIH的另一个来源获得了主要资金,
并因此可以在其他清晰的条目中表示。列出的机构是
该中心不一定是调查人员的机构。
在接下来的几个月里,我将在TeraGrid上使用我的30,000个服务单元(SU)的开发分配来进行分子动力学模拟,以原子细节表征(TAD)肿瘤抑制因子(TAD)转录激活域(TAD)的多肽片段的构象偏好。虽然这个开发分配不足以让我执行所有所需的模拟,但我将能够运行的模拟将为估计我在TeraGrid上的剩余计算需求提供有用的信息。考虑到这些信息,我将编写一份建议,以获得足够的计算资源来完成项目的其余部分。这些模拟的结果将扩大我们对所谓的自然展开的蛋白质,也就是所谓的蛋白质的机制的理解。本质上是非结构的蛋白质,与其他配对蛋白质结合。
英文摘要
This subproject is one of many research subprojects utilizing the
resources provided by a Center grant funded by NIH/NCRR. The subproject and
investigator (PI) may have received primary funding from another NIH source,
and thus could be represented in other CRISP entries. The institution listed is
for the Center, which is not necessarily the institution for the investigator.
During the next couple of months, I will be using my Development allocation of 30,000 Service Units (SUs) on the Teragrid to carry out molecular dynamics simulations to characterize, in atomistic detail, the conformational preferences of peptide fragments of the natively unfolded transcriptional activation domain of (TAD) tumor suppressor p53. While this Development allocation is not sufficient for me to perform all the required simulations, the simulations that I will be able to run will provide useful information for estimating my remaining computing needs on the Teragrid. With this information in mind, I will be writing a proposal for obtaining sufficient computational resources to complete the rest of the project. Results from these simulations will expand our understanding of the mechanisms by which so-called natively unfolded proteins, a.k.a. intrinsically unstructured proteins, bind to other partner proteins.
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