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Structural biology: a high-tech tool for biomedical research

 

作者: Mischa Machius,  

 

期刊: Current Opinion in Nephrology and Hypertension  (OVID Available online 2003)
卷期: Volume 12, issue 4  

页码: 431-438

 

ISSN:1062-4821

 

年代: 2003

 

出版商: OVID

 

关键词: structural biology;X-ray crystallography;NMR spectroscopy;electron microscopy;drug design

 

数据来源: OVID

 

摘要:

Purpose of reviewStructural biology is one of the most informative disciplines available to biochemical research. It unites technologies that can reveal high-resolution (often atomic) details of the inner workings of biochemical systems. These insights are crucial for an understanding of basic life processes, such as the reaction mechanism of a drug-converting enzyme, signal transduction from one protein to another, activation of a metabolic pathway by a gene effector, action modes of drugs, or the consequences of a mutation on the function of an enzyme. Structural biology is also vital for characterizing the molecular basis of many diseases and often provides a starting platform for the development of specifically tuned therapies, for example by designing drugs that bind to particular targets in order to affect their functionality. An overview of the main techniques as well as some selected case studies are presented.Recent findingsRecent advances in the three major structure determination techniques (X-ray crystallography, nuclear magnetic resonance spectroscopy, and electron microscopy) have made it possible to obtain three-dimensional structural information on larger systems, at higher resolution and with much less effort than in the past. Because these techniques often provide complementary information, combining them is particularly powerful for gaining comprehensive insights into complex systems, as illustrated by the recent structure determinations of the low-density lipoprotein receptor and the ribosome.SummaryStructural biology is no longer exclusive to a few dedicated specialists. Many of its techniques are now easily accessible and can be used as tools in general life science research.

 

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