Elucidating the dynamical and structural molecular factors at the origin of non-enzymatic protein-protein and protein-DNA cross-links
Elucidating the dynamical and structural molecular factors at the origin of non-enzymatic protein-protein and protein-DNA cross-links
批准号:
10709399
负责人:
Valerie Vaissier Welborn
金额:
$38.18万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-01 至 2028-06-30
关键词:
AddressAdsorptionAgingAlzheimer&aposs DiseaseAminesBiologicalBone DiseasesCarbohydratesCardiovascular DiseasesChronic Kidney FailureCollagenComputing MethodologiesDNADNA-protein crosslinkDataDehydrationDevelopmentDiabetes MellitusDiseaseElastinEnvironmentFoundationsGenetic Complementation TestGlucoseGoalsHydration statusInterventionKnowledgeLengthLocationMediatingMetastatic Neoplasm to the BoneMicroscopicMissionModelingMolecularNational Institute of General Medical SciencesNatureNeoplasm MetastasisParkinson DiseasePathologicPathologyPost-Translational Protein ProcessingPreventionProcessProteinsProtocols documentationProxyReactionResearchRetinal DiseasesSideSiteSource CodeSystemTherapeuticTimeTissuesWateradductalpha synucleincrosslinkdensityelectric fieldexperimental studyglycationkinetic modelmacromoleculemineralizationmolecular dynamicsnucleobaseopen sourcequantumskin disordersugartheoriestherapeutic development
中文摘要
项目摘要
非酶蛋白-蛋白质和蛋白质-DNA交联物是有害的翻译后
与许多严重的病理有关的修饰,包括癌症转移-
SIS,视网膜病变,慢性肾功能衰竭,皮肤和骨骼疾病,衰老,糖尿病,阿尔茨海默氏症,帕金森氏症
金森氏症和心血管疾病。然而,治疗策略的发展是徒劳的。
被我们对它们的形成缺乏了解所困扰。我们建议解决这一知识差距
使用基于本征电场计算的计算方法。我们的目标是找出
非酶形成的结构和动力学分子因素
蛋白质-蛋白质和蛋白质-DNA交联。我们的研究重点是糖介导的交联链,
由糖基化反应启动,因为它已被证明在广泛的系统中发生。
我们假设蛋白质(或DNA)水合层的部分耗尽暴露了
与周围碳水化合物相连的链(或碱基)。这促进了糖基化反应,从而
还原糖(葡萄糖)与游离胺基团反应。糖化的蛋白质和DNA
增强了形成加合物的能力,改变了它们的生物功能。我们提出的研究寻求
为糖介导的交联链的形成提供了分子解释,并可分为
分为三个突破口;每个突破口都有可能扩展为独立的研究方向。
首先,我们建议表征健康和病理的水化层的密度。
已知的蛋白质和DNA链(胶原蛋白、弹性蛋白和α-突触核蛋白)聚集在泉-
TOM水平。我们关于矿化胶原蛋白系统的初步数据表明,水的吸附是
受环境的性质而不是吸附部位的性质控制,一致
并进行了实验观察。这表明我们提出的密度泛函理论协议--
本研究适用于表征大分子与水的相互作用。
其次,我们建议对脱水和水合生物分子中的碳水化合物反应性进行建模。
作为非酶糖基化反应的替代物。我们方法的新奇之处在于介绍-
经典分子动力学模拟中使用本征函数的DUCE精确反应性信息
电场作为成键的度量标准。我们的初步数据验证了这种方法的可行性
研究并包括开发允许这种类型的计算的开放源代码。
最后,我们建议将我们的原子数据整合到蛋白质的微观动力学模型中-
蛋白质和蛋白质-DNA的交联过程。通过这个模型,我们的目标是预测关键的
与已知致病相关的交联物的密度、位置、协作性和强度。
LOGES,为确定治疗干预点铺平了道路。
英文摘要
Project Summary
Non-enzymatic protein-protein and protein-DNA cross-links are deleterious post-translational
modifications that have been associated with many severe pathologies, including cancer metasta-
sis, retinopathy, chronic renal failure, skin and bone disorders, aging, diabetes, Alzheimer’s, Par-
kinson’s and cardiovascular diseases. However, the development of therapeutic strategies is hin-
dered by our poor understanding of their formation. We propose to address this gap in knowledge
using computational methods based on intrinsic electric field calculations. Our goal is to identify
the structural and dynamical molecular factors at the origin of the formation of non-enzymatic
protein-protein and protein-DNA cross-links. We focus our study on sugar-mediated cross-links,
initiated by glycation reactions, as it has been shown to occur in a broad range of systems.
We hypothesize that partial depletion of the protein (or DNA) hydration layer exposes side
chains (or nucleobases) to surrounding carbohydrates. This facilitates glycation reactions whereby
reducing sugars (glucose) react with the free amine groups. Glycated proteins and DNA then
have enhanced ability to form adducts, altering their biofunction. Our proposed research seeks
to provide a molecular interpretation of sugar-mediated cross-link formation and can be divided
into three thrusts ; each of which with the potential to expand into a standalone research direction.
First, we propose to characterize the density of the hydration layer of healthy and pathological
proteins and DNA strands known to aggregate (collagen, elastin and α-synuclein) at the quan-
tum level. Our preliminary data on mineralized collagen systems show that water adsorption is
controlled by the nature of the environment rather than the nature of the adsorption site, consistent
with experimental observations. This suggests that the density functional theory protocol we de-
veloped for this study is suitable for the characterization of macromolecule-water interactions.
Second, we propose to model carbohydrate reactivity in dehydrated and hydrated biomole-
cules, as a proxy for non-enzymatic glycation reactions. The novelty of our approach is to intro-
duce accurate reactivity information in classical molecular dynamics simulations using intrinsic
electric fields as a metric for bond formation. Our preliminary data verify the feasibility of such
study and include the development of an open-source code that allows this type of calculations.
Finally, we propose to integrate our atomistic data into a microscopic kinetic model of protein-
protein and protein-DNA cross-linking processes. With this model, we aim to predict the critical
density, location, cooperativity and strength of cross-links that are associated with known patho-
logies, paving the way towards the identification of therapeutic points of intervention.
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