Understanding protein folding and function via molecular simulation
Understanding protein folding and function via molecular simulation
批准号:
8939742
负责人:
Robert Best
金额:
$37.27万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至
关键词:
Active SitesAddressAreaBindingChemicalsCollaborationsCoupledDataDependenceDevelopmentDiffusionDiseaseEnzymesFrictionGasesGoalsHydrogenaseKineticsLondonMembrane ProteinsMethodologyMethodsModelingMolecularPropertyProteinsResolutionSolventsStudy modelsTemperatureUniversitiesVariantWorkcollegeimprovedinterestmodels and simulationnovelphysical propertyprotein foldingprotein functionprotein misfoldingresearch studysimulationtheoriestranscription factor
中文摘要
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英文摘要
The project has addressed the following areas in the past year:
1. Unfolded proteins/implicit solvent models. In collaboration with Ben Schuler
in Zrich, we have developed a new implicit solvent model which can capture
the temperature-dependence of the solvation of unfolded proteins. This model
was able to semi-quantitatively capture and provide an explanation for the
observed collapse of a set of five proteins as temperature is increased. This
work is described in Wuttke et al (5). It is anticipated that this model will prove
useful more generally in describing the physical properties of intrinsically
disordered proteins.
2. We have developed a molecular method for studying coupled folding-binding
of intrinsically disordered proteins in cases where these proteins are able to bind
to multiple targets. This approach has been applied to study the binding of
transcription factors to co-activators, and is described in Knott & Best
(3).
3. A key unresolved aspect of protein folding dynamics is the contribution of
interactions within the chain to slowing folding, known as 'internal friction'. This
has been detected in several recent experiments, however without a conclusive
explanation. We have used molecular simulation to investigate this question,
and have found that a common origin for internal friction in all proteins is
crossing of local torsional barriers in the energy landscape, described in
De Sancho et al (6). We are currently extending this work in an attempt
to explain the variation in internal friction from protein to protein.
4. In collaboration with David de Sancho (Cambridge) and Jochen Blumberger
(University College London) we have been investigating the diffusion of gas
molecules to the active sites of hydrogenase enzymes. The methodology we
are developing will also be generally applicable to study diffusion of any
substrate molecules within enzymes, and will be combined with a
description of the chemical step of binding (Ref. 4) to obtain a complete
picture of the binding kinetics and mechanism.
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Understanding protein folding, evolution and function via molecular simulation
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批准号:10011312
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项目类别:
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资助金额:$58.73万
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财政年份:--
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负责人:Robert Best
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依托单位:
Understanding protein folding, evolution and function via molecular simulation
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批准号:9565929
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项目类别:
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资助金额:$186.34万
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财政年份:--
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负责人:Robert Best
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依托单位:
Understanding protein folding, evolution and function via molecular simulation
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批准号:10699679
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项目类别:
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资助金额:$67.37万
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财政年份:--
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负责人:Robert Best
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依托单位:
Understanding protein folding and function via molecular simulation
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批准号:9357218
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项目类别:
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资助金额:$163.9万
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财政年份:--
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负责人:Robert Best
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依托单位:
Understanding protein folding, evolution and function via molecular simulation
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批准号:10919503
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项目类别:
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资助金额:$99.98万
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财政年份:--
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负责人:Robert Best
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依托单位:
Understanding protein folding, evolution and function via molecular simulation
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批准号:10260278
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项目类别:
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资助金额:$86.67万
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财政年份:--
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负责人:Robert Best
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依托单位:
Understanding protein folding and function via molecular simulation
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批准号:8762025
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项目类别:
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资助金额:$73.68万
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财政年份:--
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负责人:Robert Best
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依托单位:
海外基金