期刊
JOURNAL OF STRUCTURAL BIOLOGY
卷 173, 期 3, 页码 451-460出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jsb.2010.09.008
关键词
Macromolecular complexes; Conformational change; Low-resolution structure; High-resolution Structure
资金
- National Science Foundation [0744732]
- Direct For Biological Sciences
- Div Of Molecular and Cellular Bioscience [0744732] Funding Source: National Science Foundation
Computational algorithms to construct structural models from SAXS experimental data are reviewed. SAXS data provides a wealth of information to study the structure and dynamics of biological molecules, however it does not provide atomic details of structures. Thus combining the low-resolution data with already known X-ray structure is a common approach to study conformational transitions of biological molecules. This review provides a survey of SAXS modeling approaches. In addition, we will discuss theoretical backgrounds and performance of our approach, in which elastic network normal mode analysis is used to predict reasonable conformational transitions from known X-ray structures, and find alternative conformations that are consistent with SAXS data. (C) 2010 Elsevier Inc. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据