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MODEL PROTEIN PRODUCTION FOR TIME-RESOLVED 2D-ELDOR, PDS, AND MQC ESR

MODEL PROTEIN PRODUCTION FOR TIME-RESOLVED 2D-ELDOR, PDS, AND MQC ESR
时间分辨 2D-ELDOR、PDS 和 MQC ESR 的蛋白质生产模型
批准号:
8364074
负责人:
ELKA R GEORGIEVA
金额:
$0.67万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2012-08-31

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中文摘要
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英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Good model systems are needed to develop methods, which is certainly true of PDS. Long organic biradicals, polyradicals, and supramolecular assemblies were instrumental for development of DEER. However they are difficult to synthesize and require expertise of a good organic chemist, who should be interested in such collaborations. In our development of DQC method we could not rely on this but made a good use of few available biradicals with distances in the range of 10-30 ¿. But when we needed a longer distances, we had to reach to Gunnar Jeschke for the sample. However we did find that for example DNA duplexes or some proteins can also contribute good model systems and are relatively easy to produce in house in required quantities. For the project development on time-resolved 2D-ELDOR spectroscopy, coupled with stopped flow or continuous rapid flow, we require large amounts (up to grams) of spin-labeled model proteins. For example T4 Lysozyme and Calmodulin are relatively small and stable proteins that can be expressed in required quantities with a moderate effort. In general proteins and DNA could provide us with all required distances and a variety of spin configurations. Furthermore, they are much more relevant to our research.
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