The Development of Computational Methods for Fluctuation Xray Scattering
The Development of Computational Methods for Fluctuation Xray Scattering
批准号:
9222022
负责人:
Petrus H Zwart
金额:
$34.62万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-06-01 至 2019-02-28
关键词:
AlgorithmsAreaBiologicalBiological ProcessBiologyBiophysicsCellsCharacteristicsCollaborationsCommunitiesComputer softwareComputing MethodologiesDataData AnalysesDerivation procedureDevelopmentEnsureEnvironmentGenerationsGoalsImageLengthMasksMedicalMethodsModelingMolecularMolecular ConformationMolecular ModelsNatureOutcomes ResearchPhysiologic pulseProceduresProcessPropertyResolutionRoentgen RaysRotationSamplingScienceScientistSolventsSourceStructural ModelsStructureSynchrotronsSystemTechniquesTestingTimebiological systemsbiophysical techniquescomplex biological systemscomputerized data processingdata modelingdata reductiondetectorexperimental studyfree-electron laserimprovedinsightinstrumentinterestmacromoleculemolecular modelingnovelparticlepublic health relevancesoftware developmentstructural biologytheoriestoolx-ray free-electron laser
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): X-ray Solution scattering is a routine biophysical technique used to determine structure and dynamics of macromolecules in solution. When solution scattering data is interpreted, often with the aid of known atomic models, an improved understanding of the macromolecule's biological function and properties emerges. The main challenge associated with solution scattering data is the intrinsic lack of information that can be
obtained from solution scattering curves. By performing the solution scattering experiment at the femtosecond time scale by using a free-electron laser, the information content of the data can be significantly enhanced, leading to fewer ambiguities in derived structural models and a better understanding of the associated biology. This technique is called fluctuation scattering. The current understanding of fluctuation scattering theory, optimal data analyses and model reconstructing practices is limited, while the availability of user facilities on which these experiments can be performed is growing rapidly. Further development in data reduction, model generation and basic theory will lead to a mature biophysical technique providing the structural biology community with information-dense solution scattering data. The proposed development of theory, data reduction and analyses methods will ultimately result in a better understanding of biological systems at the atomic level.
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批准号:10022493
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项目类别:
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资助金额:$30.14万
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财政年份:2019
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负责人:Petrus H Zwart
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依托单位:
The Development of Computational Methods for Fluctuation Xray Scattering
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批准号:9016562
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项目类别:
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资助金额:$34.62万
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财政年份:2014
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负责人:Petrus H Zwart
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依托单位:
The Development of Computational Methods for Fluctuation Xray Scattering
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批准号:8857207
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项目类别:
-
资助金额:$34.62万
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财政年份:2014
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负责人:Petrus H Zwart
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