Development and validation of a high-throughput MicroED-driven platform technology for natural product discovery
用于天然产物发现的高通量 MicroED 驱动平台技术的开发和验证
基本信息
- 批准号:10618979
- 负责人:
- 金额:$ 63.21万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-05-06 至 2027-02-28
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAlgorithmsAnimalsAnti-Bacterial AgentsAntifungal AgentsAutomobile DrivingBacteriaBioinformaticsBiologicalCardiovascular DiseasesChemicalsCodeCollectionComplementary HealthComplexComplex MixturesComputer softwareCrude ExtractsCryoelectron MicroscopyDNA Microarray ChipDataData AnalysesData CollectionDepositionDevelopmentDiseaseDisparateDrug usageEngineeringEubacteriumFaceGoalsHealthHumanHuman ResourcesImageInfectionIntegrative MedicineInterventionLocationMalignant NeoplasmsMicroarray AnalysisModalityModernizationMoldsNMR SpectroscopyNatural ProductsNatural Products ChemistryNuclear Magnetic ResonanceNutrientOrganismPainPain MeasurementPharmaceutical ChemistryPharmaceutical PreparationsPharmacopoeiasPlantsPopulationProcessPropertyProtistaReportingResearchRoentgen RaysSafetySalesSamplingScienceScientistSiteSourceSpeedStructureTimeTransmission Electron MicroscopyValidationX ray diffraction analysisX-Ray Crystallographyanalytical methodatorvastatinbioactive natural productseconomic impactelectron diffractionfungushigh throughput technologyhypocholesterolemiaimprovedinnovationinterestmarinemarine organismmicrobialmind/bodynanonovelopen sourcepharmacokinetics and pharmacodynamicspharmacologicphysical propertysignature moleculesmall molecule librariessolid statestereochemistrysubmicronsynergismtechnology platformtool
项目摘要
ABSTRACT
This study is responsive to the Notice of Special Interest (NOSI) NOT-AT-21-006 “Fundamental Science
Research on Complementary and Integrative Health Approaches, Including Natural Products or Mind and Body
Interventions” objectives to “Develop targeted and untargeted bioinformatic approaches to identify active
components in a natural product mixture.”
Structural elucidation of natural products (NPs) remains a critical rate-limiting step in NP discovery campaigns.
Difficulties in structural elucidation can arise from i) the lack of sufficient quantities of material for traditional
analytical methods (e.g. nuclear magnetic resonance (NMR) spectroscopy and X-ray crystallography); ii) intrinsic
physical properties of the NP, and iii) limitations of NMR capabilities in determining relative configuration. X-ray
crystallography remains the gold-standard for unambiguous structural determination, including the assignment
of stereochemistry. However, X-ray crystallographic analysis of newly-isolated NPs is often thwarted by
insufficient quantities to provide crystals large enough for single-crystal diffraction or poor solid-state properties
that preclude the formation of large, pristine crystals even when sufficient material is available. Given these
challenges, we envision that application of the recently reported cryo-electron microscopy (CryoEM) modality
micro-crystal electron diffraction (MicroED) could lead to vertical advances in the field of NP discovery directly
responsive to this NOSI, as MicroED has recently been demonstrated to provide unambiguous structures from
sub-micron-sized crystals of structurally complex chemical compounds that had failed to yield large crystals
suitable for X-ray analysis.
In this proposal, we aim to leverage a CryoEM/MicroED approach to resolving major bottlenecks in the structure
elucidation of (partially) purified NPs and chemically complex NP mixtures. We hypothesize that we can advance
the field of NP research through development and optimization of a high-throughput platform technology to
identify NPs in complex mixtures and yield a novel diffractomics signature of molecules for integration into
bioinformatics approaches. To evaluate this hypothesis, we will carry out three specific aims: 1) Use MicroED to
solve structures of recalcitrant (partially) purified NPs; 2) Develop a high-throughput MicroED-based platform for
compound discovery; and 3) Resolve major bottlenecks in structure determination of complex NP mixtures. For
all aims, we will leverage a one-of-a-kind and expansive group of three NP collections (chemical libraries of
extracts and partially purified fractions) derived from plants, marine organisms, and filamentous fungi. We
anticipate advancement in the speed and accuracy of NP structural identification as a result of these studies,
accelerating the rate of discovery of pharmacologically relevant NPs key to the improvement of human health.
抽象的
本研究响应特别兴趣通知 (NOSI) NOT-AT-21-006“基础科学
补充和综合健康方法的研究,包括天然产品或身心
“干预措施”的目标是“开发有针对性和无针对性的生物信息学方法来识别活性
天然产品混合物中的成分。”
天然产物 (NP) 的结构解析仍然是 NP 发现活动中关键的限速步骤。
结构阐明方面的困难可能是由于 i) 缺乏足够数量的传统材料
分析方法(例如核磁共振(NMR)光谱学和 X 射线晶体学);
NP 的物理性质,以及 iii) NMR 能力在确定相对构型方面的局限性。
晶体学仍然是明确结构测定的黄金标准,包括分配
然而,新分离的纳米颗粒的 X 射线晶体学分析常常受到阻碍。
数量不足,无法提供足够大的晶体用于单晶衍射或固态特性较差
即使有足够的材料,也无法形成大的原始晶体。
挑战,我们设想最近报道的冷冻电子显微镜(CryoEM)模式的应用
微晶电子衍射(MicroED)可能直接导致纳米粒子发现领域的垂直进步
响应此 NOSI,因为 MicroED 最近已被证明可以提供明确的结构
结构复杂的化合物的亚微米尺寸晶体,未能产生大晶体
适用于X射线分析。
在本提案中,我们的目标是利用 CryoEM/MicroED 方法来解决结构中的主要瓶颈
我们认识到,我们可以推进(部分)纯化的纳米颗粒和化学复杂的纳米颗粒混合物的阐明。
NP研究领域通过开发和优化高通量平台技术来
识别复杂混合物中的纳米粒子,并产生新的分子衍射组学特征,以便整合到
为了评估这一假设,我们将实现三个具体目标:1)使用 MicroED 来评估这一假设。
解析顽固性(部分)纯化的纳米粒子的结构;2) 开发基于 MicroED 的高通量平台
化合物发现;3) 解决复杂纳米颗粒混合物结构测定的主要瓶颈。
为了实现所有目标,我们将利用由三个 NP 集合组成的独一无二的、广泛的组(化学库
提取物和部分纯化的级分)源自植物、海洋生物和丝状真菌。
预计这些研究的结果将提高 NP 结构识别的速度和准确性,
加快药理学相关纳米颗粒的发现速度,这对改善人类健康至关重要。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Hosea Martin Nelson其他文献
Hosea Martin Nelson的其他文献
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{{ truncateString('Hosea Martin Nelson', 18)}}的其他基金
Kinetically-Persistent Carbocationsin C-H Insertion Reactions and Biomimetic Cyclization Cascades
C-H 插入反应和仿生环化级联中的动力学持久碳阳离子
- 批准号:
10570774 - 财政年份:2018
- 资助金额:
$ 63.21万 - 项目类别:
Kinetically-Persistent Carbocations in C-H Insertion Reactions and Biomimetic Cyclization Cascades
C-H插入反应和仿生环化级联中的动力学持久碳阳离子
- 批准号:
10213783 - 财政年份:2018
- 资助金额:
$ 63.21万 - 项目类别:
Kinetically-Persistent Carbocationsin C-H Insertion Reactions and Biomimetic Cyclization Cascades
C-H 插入反应和仿生环化级联中的动力学持久碳阳离子
- 批准号:
10457262 - 财政年份:2018
- 资助金额:
$ 63.21万 - 项目类别:
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