Synthetic Mimetics of Alpha-helix Structure and Function

α-螺旋结构和功能的合成模拟物

• 批准号: 6997800
• 负责人: ANDREW D HAMILTON
• 金额: $ 27.35万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-02-01 至 2008-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6997800
• 关键词: biomimetics; biotechnology; biphenyl compounds; guanine nucleotide exchange factors; intermolecular interaction; peptide structure; protein binding; protein engineering; protein protein interaction; protein structure function; pyrimidines; synthetic peptide; transcription factor

The convergence of digital design models, networking technologies and computational approaches to the display and manipulation of scientific data makes possible the development of new ways of managing and displaying information. In the biological sciences, these developments have given rise to the field of bioinformatics, where significant advances have been made in areas such as the human genome project and analysis of microarray data. Within the neurosciences, progress has been hampered, in part, by the parochial nature of the data, the lack of consensus on what type of information is most relevant to specific scientific goals, and limited application of design principals to insure effective, intuitive and truly interactive display of information. Most informatics tools under development are focused on the management of primary data. However, it is clear that second-order tools, such as the one proposed here, will be equally important in providing a visual display of the status of proposed hypotheses, and the data supporting them, in specific areas of neuroscience and in other data-rich fields. The goal is to develop a web-based, dynamic information model (DISPLAY) for visualizing and manipulating causal mechanisms proposed to be involved in Alzheimer's disease. The DISPLAY and its dynamic graphic interface will reveal patterns, pathways and conceptual connections not readily apparent from individual research studies. The expertise brought together for this project includes an investigator actively studying Alzheimer's disease, a graphical designer with extensive experience in design principles and the visual display of information, a computer scientist with experience in database management and an expert team in bioinformatics. Phase I will involve development of a working model that depicts the major hypotheses proposed to account for Alzheimer's disease and will be displayed through a web-based Flash interface. Datamining will be initially accomplished through recruitment of curators working in the field who will enter key information into a large biological object model database currently being developed within the Children's Hospital Medical Center Informatics Program. Testing of the model will be carried out by making the model available to investigators through the Alzheimer Research Forum, a widely used web site for Alzheimer's disease research. The model will be built from expert annotator input, automated data capture methods, and will interface with primary literature (available through PubMed). User interfaces and application development will incorporate state-of-the-art design principles. Although the prototype will be based on specific literature mined from the Alzheimer's disease field, the structure of the model will be developed with the goal of being adaptable to other areas of investigation within the neurosciences and, eventually, other areas of science.

数字设计模型，网络技术和计算方法的融合来显示和操纵科学数据，这使得开发了管理和显示信息的新方法。在生物科学中，这些发展引起了生物信息学领域，在诸如人类基因组项目和微阵列数据分析等领域已取得了重大进展。在神经科学中，进步受到了数据的狭och性质的阻碍。 目标以及设计原理的应用有限，以确保信息的有效，直观且真正的互动性显示。正在开发的大多数信息学工具都集中在主要数据的管理上。但是，很明显，二阶工具（例如这里提出的工具）对于在神经科学的特定领域和其他数据丰富的领域中的特定领域，在提供所提出假设的状态以及支持它们的数据方面同样重要。目的是开发一种基于网络的动态信息模型（显示），以可视化和操纵提议参与阿尔茨海默氏病的因果机制。显示及其动态图形接口将揭示模式，路径和 概念上的联系并不容易从个人研究中显而易见。为该项目汇集的专业知识包括一名研究人员积极研究阿尔茨海默氏病，这是一位具有丰富设计原理经验和视觉显示经验的图形设计师，具有数据库管理经验的计算机科学家，并且是生物信息学专家团队。第一阶段将涉及开发一个工作模型，该模型描述了提议说明阿尔茨海默氏病的主要假设，并将通过基于Web的Flash界面来展示。最初将通过招募在现场工作的策展人来实现数据建筑 当前在儿童医院医疗中心信息学计划中开发的模型数据库。该模型的测试将通过通过阿尔茨海默研究论坛（Alzheimer Research Forum）提供给研究人员的模型，该论坛是广泛使用的阿尔茨海默氏病研究网站。该模型将由专家注释输入，自动数据捕获方法构建，并将与原始文献（通过PubMed获得）交互。用户界面和应用程序开发将结合最新的设计原则。尽管该原型将基于从阿尔茨海默氏病领域开采的特定文献，但该模型的结构将以可适应神经科学和最终其他科学领域的其他研究领域的目的。