CENTER FOR COMPUTATIONAL BIOLOGY & BIOINFORMATICS (CCBB)

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 霍华德大学计算生物学和生物信息学中心(CCBB)是霍华德大学致力于支持计算生物学和生物信息学研究的资源设施。该实验室的目标是为以下领域的研究提供支持：1)生物信息学和统计遗传学，2)大分子分析和模拟，3)虚拟配体筛选和数据库开发，4)计算化学，5)计算蛋白质组学和方法开发。拟议维持和更新中心的计算能力(即硬件和软件资源)，同时维持其人力资源。这些要求与CCBB用户数量的增加以及正在开展的项目的复杂性和多样性增加相适应。该设施还将继续为霍华德大学的科学家社区提供必要的人力、软件和硬件资源，以进行成功和有竞争力的计算生物医学研究。CCBB用户可以通过互联网远程访问CCBB资源。来自国家RCMI社区的科学家也将可以通过互联网访问CCBB资源。还提议向越来越多的远程访问CCBB资源的用户提供加强的技术支持。拟就CCBB软件的使用对用户进行培训。作为这些计划的结果，霍华德大学的科学家社区和国家RCMI社区的成员都将获得最先进的计算生物学和生物信息学研究资源。在基因和蛋白质序列分析的研究、新的和改进的治疗剂、生物分子和生物材料的设计和开发以及对细胞过程的更好理解方面，获得这些资源将变得越来越重要。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The Howard University Center for Computational Biology and Bioinformatics (CCBB) is a resource facility dedicated to the support of computational biology and bioinformatics research at Howard University. The objective of the laboratory is to provide support for research in the following areas: 1) bioinformatics and statistical genetics, 2) macromolecular analysis and simulation, 3) virtual ligand screening and database development, 4) computational chemistry, and 5) computational proteomics and methods development. It is proposed to maintain and update the computational capabilities of the center (i.e., hardware and software resources) while also maintaining its human resources. These requests are commensurate with the increased number of CCBB users and with the increased complexity and diversity of projects that are being undertaken. The facility will also continue to make available to the Howard University community of scientists the necessary human, software, and hardware resources to perform successful and competitive computational biomedical research. CCBB users have remote access to CCBB resources via the internet. Scientists from the national RCMI community will also have internet-based access to CCBB resources. It is also proposed to provide enhanced technical support to the growing cadre of users who access CCBB resources remotely. It is proposed to provide user training on the use of CCBB software. As a result of these plans, state-of-the-art computational biology and bioinformatics research resources will be available to both the Howard University community of scientists and to members of the national RCMI community. Access to these kinds of resources will be increasingly important in the pursuit of investigations on gene and protein sequence analysis, the design and development of new and improved therapeutic agents, biomolecules and biomaterials, and a better understanding of cellular processes.