DMREF: Accelerated discovery of metastable but persistent contact insecticide crystal polymorphs for enhanced activity and sustainability
DMREF:加速发现亚稳态但持久的接触性杀虫剂晶体多晶型物,以增强活性和可持续性
基本信息
- 批准号:2118890
- 负责人:
- 金额:$ 171.36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-04-01 至 2026-03-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Non-technical Description: The World Health Organization estimates that malaria and other vector-borne infectious diseases, such as Zika or dengue fever, are responsible for more than 700,000 deaths worldwide annually. An essential component in the fight against malaria is the control of disease vectors through the use of contact insecticides for indoor residual spraying and insecticide-treated nets. Contact insecticides are powders of organic crystalline materials. As mosquitoes rest on the powder particles, they absorb the active substance through their tarsi (feet) to lethal effect. New York University investigators previously demonstrated that the efficacy of contact insecticides strongly depends on the identity of their crystalline forms, otherwise known as polymorphs, which have identical molecular compositions but different crystal structures. The more active polymorphs must also exhibit a high stability against transformation to less active polymorphs for the duration of their application. The central objective of this project is a knowledge-guided design, through computation and experiment, of metastable crystalline forms with superior properties for their target application. In the context of contact insecticides, this will allow less toxicant to be used, reduce environmental impact, and, thereby, meet key sustainability goals on multiple fronts. Various workshops, including Computer Crystals for Kids, Machine Learning for Kids, and Crystal Kaleidoscope, will convey the science of the project to K-12 students. Special attention will be provided to engage Black, Latino, and Native American students through the Collegiate Science Technology Entry Program.Technical Description: The application of metastable polymorphs of molecular crystals in the management of vector-borne diseases such as malaria and dengue fever through innovations in contact insecticide formulations represents a new and sustainable target of opportunity. Accelerated discovery of such metastable polymorphs with low thermodynamic yet high kinetic stability constitutes a key challenge that can only be met using a tightly integrated computational and experimental workflow. Starting with twelve known contact insecticides approved by the World Health Organization for indoor residual spraying (including pyrethroids, organophosphates, carbamates, and neonicotinoids), the project will explore innovative approaches to crystal polymorphs that meet the aforementioned criteria, which are essential to insecticide efficacy that relies on physical contact between insect tarsi and crystal surfaces in indoor residual spraying applications and insecticide-treated nets. Experimentally, these metastable polymorphs can be obtained from melt or solution, by (cross-)nucleation, phase transformations, or growth under nanoconfinement. The experimental work will be complemented by the development of a theoretical framework focused on the formation of energetically accessible polymorphs – driven by both thermodynamic and kinetic factors – as well as the transformation between different polymorphs and their surface properties. These tasks are beyond the reach of standard computational tools, requiring the development of new theoretical methodologies that combine the strength of enhanced molecular simulations and machine learning. Initial computational results will be validated by experimental data to improve the theoretical framework. Similarly, theoretical predictions will be used to guide and refine experimental protocols. This iterative loop of mutual feedback will eventually converge toward comprehensive and reliable workflows that will accelerate the discovery and development of metastable polymorphs with exceptional properties, in accord with the goals of the Materials Genome Initiative. Various workshops, including Computer Crystals for Kids, Machine Learning for Kids, and Crystal Kaleidoscope, will convey the science of the project to K-12 students. Special attention will be provided to engage Black, Latino, and Native American students through the Collegiate Science Technology Entry Program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
非技术描述:世界卫生组织估计疟疾和其他媒介传染性疾病发烧,每年在全球范围内有700,000多人死亡。由于蚊子在粉末粒子上,造成杀虫剂晶体材料。 HA相同的分子组成但UST在Theis Project的持续时间内表现出高度的稳定性,可转化为活性的多晶型物。他们的目标应用程序可以减少毒性,从而减少环境影响,从而使孩子们的机器学习和水晶万花筒将项目的科学传达给K-12学生。黑人和美洲原住民的学生通过大学技术专业人员。技术描述:分子晶体在媒介传播的laria和登革热的管理中的应用,通过Contacticide Formulations中的创新,一种新的和可持续的机会目标。稳定征兵只能使用世界卫生组织批准的十二个已知的接触杀虫剂才能通过室内残留喷涂和新烟碱素来应对的关键挑战,该项目将创新的方法tolystal polystal polymorphs,这些多态多晶型物具有上述标准对杀虫剂的效率,昆虫tarsi和晶体表面之间的物理接触在室内残留的spplicatietide网络中,可以通过融化或溶液来获得(跨 - )成核,纳米芬的生长。框架上的框架是能量可访问的多晶型物和动力学因素 - 随着不同的多晶型物及其表面特性之间的转化结果数据以改进理论框架和完善的实验协议。倡议。 Demed认为值得通过Toundation的智力优点和更广泛影响的评论标准来评估值得支持。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
ROY Crystallization on Poly(ethylene) Fibers, a Model for Bed Net Crystallography
- DOI:10.1021/acs.chemmater.3c03188
- 发表时间:2024-02-27
- 期刊:
- 影响因子:8.6
- 作者:Erriah,Bryan;Shtukenberg,Alexander G.;Kahr,Bart
- 通讯作者:Kahr,Bart
Efficient Polymorph Screening through Crystallization from Bulk and Confined Melts
- DOI:10.1021/acs.cgd.2c01065
- 发表时间:2022-11-22
- 期刊:
- 影响因子:3.8
- 作者:Fellah, Noalle;Tahsin, Lamia;Shtukenberg, Alexander G.
- 通讯作者:Shtukenberg, Alexander G.
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Mark Tuckerman其他文献
Mark Tuckerman的其他文献
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{{ truncateString('Mark Tuckerman', 18)}}的其他基金
Collaborative Research:CDS&E:D3SC:Topology, Rare-event Simulation, and Machine Learning as Routes to Predicting Molecular Crystal Structures and Understanding Their Phase Behav
合作研究:CDS
- 批准号:
1955381 - 财政年份:2020
- 资助金额:
$ 171.36万 - 项目类别:
Continuing Grant
Development of rare-event sampling techniques for predicting structures and free energies of crystal polymorphs and oligopeptides
开发罕见事件采样技术来预测晶体多晶型物和寡肽的结构和自由能
- 批准号:
1565980 - 财政年份:2016
- 资助金额:
$ 171.36万 - 项目类别:
Continuing Grant
DMREF: Collaborative Research: Development of Design Rules for High Hydroxide Transport in Polymer Architectures
DMREF:协作研究:聚合物结构中高氢氧化物传输设计规则的开发
- 批准号:
1534374 - 财政年份:2015
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant
Development of computational techniques for predicting the free energetics of crystalline polymorphs and complex molecules
开发用于预测晶体多晶型物和复杂分子的自由能学的计算技术
- 批准号:
1301314 - 财政年份:2013
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant
Collaborative Research: SI2-CHE: Development and Deployment of Chemical Software for Advanced Potential Energy Surfaces
合作研究:SI2-CHE:先进势能表面化学软件的开发和部署
- 批准号:
1265889 - 财政年份:2013
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant
Development and application of novel methods for enhanced conformational sampling, free energy prediction, and hybrid QM/MM calculations
增强构象采样、自由能预测和混合 QM/MM 计算新方法的开发和应用
- 批准号:
1012545 - 财政年份:2010
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant
Novel methodologies for conformational sampling and QM/MM simulations in complex systems
复杂系统中构象采样和 QM/MM 模拟的新方法
- 批准号:
0704036 - 财政年份:2007
- 资助金额:
$ 171.36万 - 项目类别:
Continuing Grant
Acquisition of Large-scale Parallel Computational Resources for Biological and Materials Modeling
获取用于生物和材料建模的大规模并行计算资源
- 批准号:
0420870 - 财政年份:2004
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant
New conformational sampling and large-scale electronic structure techniques: applications to polypeptide structure, proton transport, and dynamics of silicate melts
新构象采样和大规模电子结构技术:在多肽结构、质子传输和硅酸盐熔体动力学中的应用
- 批准号:
0310107 - 财政年份:2003
- 资助金额:
$ 171.36万 - 项目类别:
Continuing Grant
Collaborative Research: ITR/AP: Novel Scalable Simulation Techniques for Chemistry, Materials Science and Biology
合作研究:ITR/AP:化学、材料科学和生物学的新型可扩展模拟技术
- 批准号:
0121375 - 财政年份:2001
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant
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相似海外基金
DMREF/Collaborative Research: Accelerated Discovery of Sustainable Bioplastics: Automated, Tunable, Integrated Design, Processing and Modeling
DMREF/合作研究:加速可持续生物塑料的发现:自动化、可调、集成设计、加工和建模
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2323976 - 财政年份:2023
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant
Collaborative Research: DMREF: Accelerated Design, Discovery, and Deployment of Electronic Phase Transitions (ADEPT)
合作研究:DMREF:电子相变的加速设计、发现和部署 (ADEPT)
- 批准号:
2324172 - 财政年份:2023
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant
DMREF/Collaborative Research: Accelerated Discovery of Sustainable Bioplastics: Automated, Tunable, Integrated Design, Processing and Modeling
DMREF/合作研究:加速可持续生物塑料的发现:自动化、可调、集成设计、加工和建模
- 批准号:
2323977 - 财政年份:2023
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant
Collaborative Research: DMREF: Accelerated Design, Discovery, and Deployment of Electronic Phase Transitions (ADEPT)
合作研究:DMREF:电子相变的加速设计、发现和部署 (ADEPT)
- 批准号:
2324174 - 财政年份:2023
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant
DMREF/Collaborative Research: Accelerated Discovery of Sustainable Bioplastics: Automated, Tunable, Integrated Design, Processing and Modeling
DMREF/合作研究:加速可持续生物塑料的发现:自动化、可调、集成设计、加工和建模
- 批准号:
2323979 - 财政年份:2023
- 资助金额:
$ 171.36万 - 项目类别:
Standard Grant