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
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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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