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MRI: Acquisition of computing equipment for research and education in computational biology

MRI: Acquisition of computing equipment for research and education in computational biology
MRI:采购用于计算生物学研究和教育的计算设备
批准号:
0821391
负责人:
Amy Keating
金额:
$25.61万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2011-08-31

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中文摘要
翻译
通过国家科学基金会向麻省理工学院提供的一笔赠款,六名教职员工将合作购买和使用高性能计算设备,用于计算和系统生物学的研究和教育。生命科学中高通量技术的出现提供了许多基因组序列、蛋白质结构和生物相互作用网络。这类数据的数量将继续增长,迫使制定严格和定量的方法来破译和理解它。与此同时,计算技术的进步使利用建模和模拟来解决复杂生物学问题的新方法成为可能。将得到支持的项目涵盖了广泛的令人兴奋的领域,包括基因和生物进化的研究、转录和转录后基因调控、分子信号、蛋白质构象建模、蛋白质设计和复杂网络的分析。这项工作将带来计算方法的进步,并提供基本的生物学见解。这一奖项将支持麻省理工学院S在美国发展计算和系统生物学方面的积极作用。该大学正在建立新的课程和课程,以培养生命科学、工程学和物理科学相结合的学生。该奖项的调查人员深度参与了这些活动。共享计算资源将有助于吸引有才华的学生,并为他们提供现代、跨学科的培训。这些来自不同背景的学生将在美国的大学和公司担任领导职务。
英文摘要
Through a grant from the National Science Foundation to the Massachusetts Institute of Technology, six faculty members will collaborate in the purchase and use of high-performance computing equipment for research and education in computational and systems biology. The advent of high-throughput technologies in the life sciences has provided many genome sequences, protein structures and biological interaction networks. The amount of such data will continue to grow, compelling the development of rigorous and quantitative approaches to decipher and understand it. Simultaneously, advances in computing technology are enabling new ways of attacking complex biological problems using modeling and simulation. The projects to be supported cover a wide range of exciting areas, including the study of gene and organism evolution, transcriptional and post-transcriptional gene regulation, molecular signaling, protein conformational modeling, protein design, and the analysis of complex networks. The work will lead to advances in computational methods and provide basic biological insights. This award will support MIT?s active role in developing computational and systems biology in the United States. The university is establishing novel programs and curricula to train students at the interface of the life sciences, engineering and the physical sciences. The investigators on this award are deeply involved in these activities. Shared computing resources will help attract talented students and provide them with modern, cross-disciplinary training. These students, who come from diverse backgrounds, will assume leadership positions in American universities and companies.
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Coiled-coil Modules for Molecular Engineering and Synthetic Biology
CAREER: Analysis of the Coiled-coil Interactome
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