COMPUTING FOR CHALLENGING SAMPLES

计算具有挑战性的样本

• 批准号: 8169273
• 负责人: STEVEN E EALICK
• 金额: $ 0.77万
• 依托单位: CORNELL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8169273
• 关键词: Cells; Characteristics; Commit; Computer Retrieval of Information on Scientific Projects Database; Computer software; Crystallography; Data Collection; Development; Funding; Grant; Institution; Optics; Productivity; Radiation; Research; Research Personnel; Resources; Sampling; Source; System; United States National Institutes of Health; beamline; design; research and development; user-friendly

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 computational research and development is focused on the computational needs associated with challenging cases of macromolecular crystallography, including small and weakly diffracting crystals, radiation sensitive crystals and large unit cells. Problematic crystals also require special data collection strategies and the beamline with readily reconfigurable optical characteristics. The priorities in computational core were mostly given to the increase of the productivity of our beamlines. We were committed to continuation of the development of the CONSOLE beamline control system; a lot of efforts were dedicated to make many control functions more user's friendly and/or completely automated. Second, we continued and made a lot of progress in the design and implementation of new software to deal with the optimal data collection strategy.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 计算研究和开发集中在与大分子晶体学病例相关的计算需求上，包括小且弱衍射的晶体，辐射敏感的晶体和大型单位细胞。有问题的晶体还需要特殊的数据收集策略和具有可重新配置的光学特性的光束线。计算核心的优先级主要是我们光束线生产率的提高。我们致力于延续控制台束线控制系统的发展；许多努力都致力于使许多控制功能更加友好和/或完全自动化。其次，我们继续并在设计和实施新软件方面取得了很大进展，以处理最佳数据收集策略。