Rare-event simulation and analysis for elucidating mechanisms of development and disease
用于阐明发育和疾病机制的罕见事件模拟和分析
基本信息
- 批准号:10611995
- 负责人:
- 金额:$ 32.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-05-01 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:ActinsAlzheimer&aposs DiseaseAmyloid FibrilsAnteriorBindingBiologicalBiological ProcessCell ShapeComplementComputing MethodologiesCoupledCytoskeletal ModelingCytoskeletonDefectDevelopmentDevelopmental ProcessDiabetes MellitusDiseaseDrug KineticsEngineeringEquilibriumEventFeedbackGrainHealthImmunologicsIn VitroInsulinInsulin ReceptorKnowledgeLengthLifeMethodsMicroscopicMissionModelingModificationMolecularMonomeric GTP-Binding ProteinsNeurodegenerative DisordersNeuronsParkinson DiseasePatternPlayProcessPropertyRNA-Binding ProteinsReactionRefrigerationResearchResolutionRoleSignal TransductionSignaling MoleculeSpecific qualifier valueStructureTestingTherapeuticTherapeutic IndexTimeTissuesUnited States National Institutes of Healthamyloid formationanalogcostdesigndisabilityexperimental studyimprovedin vivoinsightmechanical forcepandemic diseasereceptorreceptor bindingself assemblysimulationstatisticssynaptogenesistumor growthwound healing
项目摘要
PROJECT SUMMARY. Molecular simulations complement experiments by revealing the microscopic dynamics
underlying biological mechanisms and the forces promoting those dynamics. However, most biological processes
involve time scales much longer than the time step of numerical integration. While there are many methods for
bridging this separation of time scales to obtain equilibrium averages, further advances are needed to robustly
estimate dynamical statistics. The proposed research seeks to develop general methods that can meet this need
and to apply them to elucidating self-assembly mechanisms at both molecular and cellular length scales.
Improving insulin therapies through rare-event analyses of short simulations. There is a pandemic in diabetes
mellitus, with tremendous cost worldwide. The main treatment is insulin therapy, but it has a narrow therapeutic
index, and its requirement for refrigerated transport and storage is prohibitively costly for much of the world.
Insulin analogs have been engineered to have specific pharmacokinetics based on knowledge of insulin self-
association, but an understanding of how insulin binds to the insulin receptor (IR) remains lacking. We seek to
develop computational methods that can enable simulation and analysis of coupled folding and binding reactions
and to combine these methods with recently obtained structures of IR bound to insulin and single-chain insulin
(SCI) analogs to elucidate the microscopic origins of observed therapeutic activities. The study can thus ultimately
lead to improved insulin therapies. We will also investigate the improved thermal properties of SCI analogs, in
particular, their reduced tendency to form amyloid fibrils. The study thus also promises to yield insights into
amyloid formation, with broad implications beyond insulin to neurodegenerative disorders like Parkinson's and
Alzheimer's diseases.
Modeling cytoskeletal processes leading to developmental patterning. Cytoskeletal dynamics underlie diverse
processes, including developmental patterning, neuronal synapse formation, immunological recognition, wound
healing, and tumor growth. These dynamics can be very hard to intuit because they involve balances of me-
chanical forces, mechanochemistry, network assembly and dissasembly, and feedback to and from cell signaling
molecules. Models thus play an important role in parsing contributing molecular processes and testing quanti-
tative hypotheses. We will adapt a recently parameterized cytoskeletal model that is quantitatively predictive in
vitro to elucidate mechanisms of developmental patterning in vivo. Namely, we will investigate how interactions
between the small GTPase RhoA and actin assembly/dissasembly control pulsatile contractility, a widespread
phenomenon that drives cortical flow, cell shape change, and tissue deformation. Then we will compare models
for the localization of the evolutionarily-conserved RNA-binding protein Staufen during anterior-posterior speci-
fication. In addition to aiding in understanding these key developmental processes, the simulations will yield a
model that can be used to study cytoskeletal dynamics in a broad range of contexts with minimal modification.
项目总结。分子模拟通过揭示微观动力学来补充实验
项目成果
期刊论文数量(11)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Computing transition path theory quantities with trajectory stratification
- DOI:10.1063/5.0087058
- 发表时间:2022-07-21
- 期刊:
- 影响因子:4.4
- 作者:Vani, Bodhi P.;Weare, Jonathan;Dinner, Aaron R.
- 通讯作者:Dinner, Aaron R.
Predicting rare events using neural networks and short-trajectory data
- DOI:10.1016/j.jcp.2023.112152
- 发表时间:2022-08
- 期刊:
- 影响因子:4.1
- 作者:J. Strahan;J. Finkel;A. Dinner;J. Weare
- 通讯作者:J. Strahan;J. Finkel;A. Dinner;J. Weare
Long-Time-Scale Predictions from Short-Trajectory Data: A Benchmark Analysis of the Trp-Cage Miniprotein.
- DOI:10.1021/acs.jctc.0c00933
- 发表时间:2021-05-11
- 期刊:
- 影响因子:5.5
- 作者:Strahan J;Antoszewski A;Lorpaiboon C;Vani BP;Weare J;Dinner AR
- 通讯作者:Dinner AR
Understanding the sources of error in MBAR through asymptotic analysis
通过渐近分析了解 MBAR 的误差来源
- DOI:10.1063/5.0147243
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Li, Xiang Sherry;Van Koten, Brian;Dinner, Aaron R.;Thiede, Erik H.
- 通讯作者:Thiede, Erik H.
Augmented transition path theory for sequences of events
事件序列的增强转移路径理论
- DOI:10.1063/5.0098587
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Lorpaiboon, Chatipat;Weare, Jonathan;Dinner, Aaron R.
- 通讯作者:Dinner, Aaron R.
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Aaron Dinner其他文献
Aaron Dinner的其他文献
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{{ truncateString('Aaron Dinner', 18)}}的其他基金
Rare-event simulation and analysis for elucidating mechanisms of development and disease
用于阐明发育和疾病机制的罕见事件模拟和分析
- 批准号:
10396476 - 财政年份:2020
- 资助金额:
$ 32.96万 - 项目类别:
Robust rare event simulation for protein folding and disease-related aggregation
蛋白质折叠和疾病相关聚集的稳健罕见事件模拟
- 批准号:
9316663 - 财政年份:2013
- 资助金额:
$ 32.96万 - 项目类别: