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

本子项目是利用由NIH/NCRR资助的中心赠款提供的资源的众多研究子项目之一。子项目和研究者（PI）可能已经从另一个NIH来源获得了主要资金，因此可以在其他CRISP条目中表示。列出的机构是中心的，不一定是研究者的机构。拟议的计算蛋白质组学研究中心将开发和验证一个广泛可访问的软件和硬件系统，用于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：推动生物学项目*核心4：为生物医学界服务*核心5：培养中心的研究生和博士后，以及更广泛的生物医学界*核心6：工具、数据和发现的传播*核心7：广泛的目标是全面描述生物分子之间的相互作用，这反过来又是发现所有细胞过程基础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，但其追求将对生物医学研究产生重大影响。具体来说，该中心将(i)大大改善蛋白质结构建模和对接的途径，将这些工具带到一般的生物群落；（ii）使生物学家能够深入了解他们所研究的过程；（iii）将实验与计算相结合，优化生物医学研究的覆盖范围、准确性、分辨率、效率和成本；（iv）允许社区开始解决需要蛋白质结构及其相互作用的综合数据集的问题；(v)促进药物靶点发现、先导物发现和先导物优化，用于治疗人类疾病。该项目的门户网站由RBVI研究中心托管，用于不同研究小组之间交换项目进展信息。

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.