课题基金 / 基金详情

WEB PAGES FOR THE CENTER OF COMPUTATIONAL PROTEOMICS RESEARCH (CCPR)

WEB PAGES FOR THE CENTER OF COMPUTATIONAL PROTEOMICS RESEARCH (CCPR)
计算蛋白质组学研究中心 (CCPR) 的网页
批准号:
7367770
负责人:
ANDREJ SALI
金额:
$0.77万
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-07-01 至 2007-06-30

项目摘要

项目成果

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中文摘要
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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. The proposed Center for Computational Proteomics Research will develop and validate a broadly accessible software and hardware system for the genome-wide mapping of the protein interactions with small molecules and with other proteins. The Center will consist of six cores: * Core 1&2: Genome-Wide Mapping of Protein Interactions * Core 3: Driving Biological Projects * Core 4: Service to the Biomedical Community * Core 5: Training the Center's Graduate and Postdoctoral Students, and the Broader Biomedical Community * Core 6: Dissemination of Tools, Data, and Discoveries * Core 7: Management and Oversight The broad goal is a comprehensive description of the interactions between biological molecules, which in turn is a prerequisite for the discovery of general structural principles that underlie all cellular processes. Whereas this goal is certainly challenging, its pursuit will have a great impact on biomedical research. Specifically, the Center will (i) dramatically improve access to protein structure modeling and docking, bringing these tools to the general biological community; (ii) allow biologists to develop structural insight into the processes they study; (iii) combine experiment and computation to optimize coverage, accuracy, resolution, efficiency, and cost of biomedical research; (iv) allow the community to begin to address questions that require a comprehensive dataset of protein structures and their interactions; and (v) contribute to drug target discovery, lead discovery, and lead optimization for treatment of human disease. The web-portal for the project is hosted by the RBVI research center, and is used to exchange information about the project progress between the different research groups.
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