COMPUTER AIDED DRUG DISCOVERY AND METASCHEDULING IN CLOUD COMPUTING

云计算中的计算机辅助药物发现和元调度

• 批准号: 8169356
• 负责人: XIANGYANG WEI
• 金额: $ 3.35万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-01 至 2011-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8169356
• 关键词: Algorithms; Biological Process; Biological Sciences; Biomedical Research; Communities; Computer Assisted; Computer Retrieval of Information on Scientific Projects Database; Environment; Funding; Grant; Institution; Knowledge; Learning; Length; Modeling; Modification; Research; Research Personnel; Resources; Running; Scientist; Source; Time; United States National Institutes of Health; Work; computing resources; drug discovery; middleware; simulation

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. In order to deliver cyberinfrastructure to the general scientific and biomedical research community, transparent access and ease of use are of critical importance. Applications in systematic modeling of biological processes across scales of time and length demand more and more sophisticated algorithms and larger and longer simulations. The increased level of sophistication requires that cyberinfrastructure developers either work closely with the applications scientists, or develop middleware that flattens the learning curve for these scientists to use the grid willingly and transparently. Many life sciences researchers prefer to run applications in the grid environment without modifications, and without knowledge of specific computational resources being utilized.

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。 为了向一般科学和生物医学研究提供网络基础设施 社区，透明访问和易用性至关重要。应用程序 跨时间和长度范围的生物过程的系统建模 以及更复杂的算法以及更大，更长的模拟。增加的水平 复杂性要求网络基础设施开发人员与 应用科学家，或开发使学习曲线变平的中间件 科学家愿意和透明地使用网格。许多生命科学研究人员更喜欢 在网格环境中运行应用程序而没有修改，并且不了解 使用特定的计算资源。