CENTER FOR COMPUTATIONAL BIOLOGY & BIOINFORMATICS (CCBB)

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。列出的机构是 中心，不一定是研究者的机构。 霍华德大学计算生物学和生物信息学中心（CCBB）是一个资源设施，致力于支持霍华德大学的计算生物学和生物信息学研究。 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，以及5）计算蛋白质组学和方法开发。 建议维护和更新中心的计算能力（即，硬件和软件资源），同时还保持其人力资源。 这些要求与CCBB用户数量的增加以及正在进行的项目的复杂性和多样性的增加是相称的。 该设施还将继续向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资源的用户提供更好的技术支持。 建议为用户提供使用CCBB软件的培训。 由于这些计划，国家的最先进的计算生物学和生物信息学研究资源将提供给科学家的霍华德大学社区和国家RCMI社区的成员。 获得这类资源将越来越重要的追求研究基因和蛋白质序列分析，设计和开发新的和改进的治疗剂，生物分子和生物材料，以及更好地了解细胞过程。

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 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.