Multi-Scale Dynamic Modeling of RNA Folding and Assembly
Multi-Scale Dynamic Modeling of RNA Folding and Assembly
批准号:
7923647
负责人:
Alain T Laederach
金额:
$14.3万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-30 至 2010-12-31
关键词:
AlgorithmsAntibioticsBiological ModelsBiologyCell physiologyComplexComputer softwareDNA biosynthesisDataData SetDeuteriumDevelopmentEngineeringGenetic ProgrammingGenetic TranscriptionHydroxyl RadicalInformaticsIntronsKineticsLeadMacromolecular ComplexesMeasurementMeasuresMessenger RNAMethodologyMethodsModelingMolecular ConformationMolecular MachinesMolecular StructureNatureNucleotidesPathway interactionsPerformancePharmacologic SubstancePositioning AttributeProcessProtein BindingProteinsPublic HealthPublishingRNARNA FoldingReactionRibosomal ProteinsRibosomesSon of Sevenless ProteinsSpliceosomesStructural ModelsStructureSystemTechniquesTetrahymena thermophilaTranslation ProcessValidationWorkbasecluster computingcombinatorialdirect applicationimprovedmacromolecular assemblymacromoleculemolecular assembly/self assemblynovel
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Self-assembling macromolecular machines such as the ribosome and spliceosome are central to
fundamental cellular processes including transcription, mRNA processing, translation, and DNA replication.
Creating a quantitative and predictive description of the sequence of steps leading to their assembled and
functional conformation is necessary to achieving a predictive understanding of cellular processes. The large
number of components that make up a macromolecular machine result in a highly complex assembly
reaction. Recent developments in the throughput and variety of experimental approaches that probe these
reactions provide a cornucopia of information. Integrating these data and building consistent descriptions of
the assembly process requires the development of sophisticated algorithms that integrate multi-scale data
and leverage the ever increasing power of large distributed computing grids. This proposal outlines the
extension and application of novel algorithms that create quantitative and predictive structural and dynamic
descriptions of molecular assembly processes based on kinetic measurements of the reaction. These
algorithmic developments, in conjunction with the acquisition of large data sets on the assembly reaction of
the 30S ribosomal subunit, will be used to create a highly detailed quantitative description of the assembly
reaction of this critical molecular machine. The description will greatly deepen our understanding of
molecular assembly, as it will predict the number and complexity of the possible assembly pathways, as well
as establish the degree of cooperativity between the RNA and protein components of the machine.
Public Health Statement:
Like all machines capable of carrying out complex tasks, the ribosome is comprised of many different
components. By understanding how these components come together to make a fully functional molecule,
we are effectively reverse engineering the machine. This new understanding will help us enhance, inhibit
and/or modify the function of the machine. One direct application of this work is the development of novel
antibiotics, as the bacterial ribosome is a major pharmaceutical target. Furthermore, a detailed blueprint of
the assembly process will significantly improve our ability to engineer novel molecular machines with entirely
new function.
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资助金额:$32.24万
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资助金额:$27.36万
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依托单位:
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批准号:8203802
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财政年份:2009
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依托单位:
DETERMINING THE FOLDING PATHWAYS OF RNA USING LARGE-SCALE OPTIMIZATION
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批准号:7723279
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资助金额:$0.05万
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财政年份:2008
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依托单位:
Multi-Scale Dynamic Modeling of RNA Folding and Assembly
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依托单位:
海外基金