Consortia for High-Throughput-Enabled Structural Biology Partnerships (U01)
Consortia for High-Throughput-Enabled Structural Biology Partnerships (U01)
批准号:
8153600
负责人:
DAVID BAKER
金额:
$14.61万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-30 至 2015-06-30
关键词:
Amino Acid SequenceAnimal Disease ModelsAnimalsAutoimmune DiseasesBiochemicalBiological AssayBiological ProcessCommitEvolutionImmune responseImmunityImmunologistIn VitroKnock-in MouseLeadNatural ImmunityReagentResolutionSeriesSpecificityStructural BiologistStructure-Activity RelationshipTherapeuticbaseimmune functionin vivoinsightmutantstructural biologystructural genomics
中文摘要
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英文摘要
The Immune Function Network (IFN), a consortium of immunologists, geneticists, computational biochemists, and high
throughput structural biologists, is committed to the coordinated structural, in vitro biochemical and in vivo ftinctional
analyses of the secreted molecules and ectodomains of cell surface molecules that control adaptive and innate
immunity. These molecules are validated targets for immime-based therapies to treat a wide range of autoimmune
diseases, infectious diseases and cancers, and are indeed therapeutics in their own right. The IFN, subscribes to a series
of underlying principles: 1) target selection supports hypothesis-driven structural biology by identifying unique primary
amino acid sequence signatures that predict unique structural features, which are in turn responsible for unique
biological function; 2) the high resolution structures of these molecules are exceptionally revealing as they inform on
oligomeric state, valency, specificity and general architectural features, all of which are fundamental mechanistic
contributors to immune function; 3) these structures can be readily exploited by biochemical and computational
approaches to guide the generation of molecules with specifically altered biochemical and biophysical properties; 4)
these "surgically-defined" mutants represent novel reagents that will lead to new mechanistic insights in in vitro cellbased
assays and in vivo animal models of disease; 5) the molecules predicted to be most informative will guide the
generation of knock-in mouse models to provide in vivo structure-function relationships for innate and adaptive
immunity. This "Atoms-to-Animals" approach represents the next step in the evolution of Structural Biology as it
maximally leverages structural information and provides a comprehensive and powerful paradigm for the study of
normal, pathological, and therapeutic immune responses.
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财政年份:2011
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负责人:DAVID BAKER
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依托单位:
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项目类别:
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资助金额:$6.49万
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财政年份:2011
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依托单位:
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