Structural Analysis of Supramolecular Assemblies by Hybrid Methods

描述(由申请人提供)：申请支持由Andrej Sali、Brian T.Chait和David Baker组织的题为《杂交方法超分子组装的结构分析》的Keystone研讨会。会议将于2013年3月3日至7日在加利福尼亚州塔霍市举行。为了了解活细胞的运作，我们需要了解单个生物大分子、它们的复合体和网络、细胞器和整个细胞的结构和动力学，从而将结构生物学与细胞生物学、系统生物学、蛋白质组学、化学生物学和生物物理学联系起来。通过使用计算分析和建模方法，将来自多种类型的实验方法的数据结合在一起，通过混合或综合的方法来最大化结构表征的准确性、精确度、完整性和效率。这些实验方法包括X射线结晶学、核磁共振光谱、电子显微镜、小角X射线散射、质谱学、化学交联法、超高分辨率光学显微镜、光学显微镜等。本次会议的目标是强调当前混合办法的优点和局限性，并确定在收集数据的实验方法和将数据转换为模型的计算方法方面有希望的新进展。最后，从单个蛋白质的原子结构到整个细胞的低分辨率表示，杂交方法将通过它们在重要和具有挑战性的生物学问题上的应用来展示，这些问题跨越了广泛的长度和时间尺度。

DESCRIPTION (provided by applicant): Support is requested for a Keystone Symposia meeting entitled Structural Analysis of Supramolecular Assemblies by Hybrid Methods, organized by Andrej Sali, Brian T. Chait and David Baker. The meeting will be held in Tahoe City, California from March 3 - 7, 2013. In order to understand the workings of a living cell, we need to know the structures and dynamics of individual biological macromolecules, their complexes and networks, organelles, and whole cells, thus interfacing structural biology with cell biology, systems biology, proteomics, chemical biology, and biophysics. The accuracy, precision, completeness, and efficiency of structural characterization are maximized by hybrid or integrative approaches that combine data from multiple types of experimental methods through the use of computational analysis and modeling methods. These experimental methods include X-ray crystallography, NMR spectroscopy, electron microscopy, small angle X- ray scattering, mass spectrometry, chemical cross-linking, super-high resolution optical microscopy, optical microscopy, and others. The goal of this meeting is to highlight the strengths and limitations of the current hybrid approaches as well as to identify new promising advances in experimental methods for collecting the data and computational methods for converting the data to models. Finally, hybrid approaches will be demonstrated by their applications to important and challenging biological problems, spanning a wide range of length and time scales, from atomic structures of individual proteins to low-resolution representations of whole cells.