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

这个子项目是利用由NIH/NCRR资助的中心拨款提供的资源的许多研究子项目之一。子项目和调查员(PI)可能从另一个NIH来源获得了主要资金，因此可能会出现在其他CRISE条目中。列出的机构是针对中心的，而不一定是针对调查员的机构。拟议的计算蛋白质组学研究中心将开发和验证一个可广泛使用的软件和硬件系统，用于绘制蛋白质与小分子和其他蛋白质相互作用的全基因组图谱。该中心将由六个核心组成：*核心1和2：蛋白质相互作用的全基因组图谱*核心3：推动生物项目*核心4：为生物医学界提供服务*核心5：培训中心的研究生和博士后，以及更广泛的生物医学界*核心6：传播工具、数据和发现*核心7：管理和监督广泛的目标是全面描述生物分子之间的相互作用，这反过来又是发现构成所有细胞过程的一般结构原理的先决条件。尽管这一目标无疑具有挑战性，但它的追求将对生物医学研究产生巨大影响。具体地说，该中心将(I)极大地改善蛋白质结构建模和对接的机会，将这些工具带到普通生物界；(Ii)使生物学家能够对他们研究的过程进行结构洞察；(Iii)将实验和计算相结合，以优化生物医学研究的覆盖面、准确性、分辨率、效率和成本；(Iv)使社区能够开始解决需要蛋白质结构及其相互作用的全面数据集的问题；以及(V)为药物靶标发现、先导发现和人类疾病治疗的领导优化做出贡献。该项目的门户网站由RBVI研究中心托管，用于在不同的研究小组之间交流关于项目进展的信息。

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.