Network for Computational Nanotechnology - Engineered nanoBIO Node
Network for Computational Nanotechnology - Engineered nanoBIO Node
批准号:
1720625
负责人:
James Glazier
金额:
$400.0万
依托单位:
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2023-08-31
中文摘要
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英文摘要
In its original formulation due to Feynman almost six decades back, nanotechnology began around a simple but powerful vision of a device engineered to write the entire Encyclopedia Britannica on the head of a pin. Nanotechnology now is a multidisciplinary field where devices are designed for applications in a diverse array of fields such as electronics, medicine, and energy using principles from engineering, physics, materials science, chemistry, computing, and biology. The safe and successful application of nanotechnology in the biological realm demands an advance in the original vision of Feynman due to the inherent multiscale nature of biology. Engineering of these nanoBIO devices must be based on the knowledge of how nanotechnology-based devices interact with biological systems at the protein, cell, tissue, and organ levels. The Engineered nanoBIO node at Indiana University (IU) will develop a powerful set of integrated computational nanotechnology tools that address this complex, multiscale problem and facilitate the discovery of customized, efficient, and safe nanoscale devices for biological applications. These computational tools will be tested and validated experimentally, and they will be integrated with IU's key cyberinfrastructure strengths in high-performance computing and scalable data-analysis platforms. They will meet critical national health needs as they find applications in nanomedicine by significantly enhancing the targeting and imaging capabilities of engineered nanoparticles, thus increasing our ability to generate new life-saving medicines for cancer treatment. The node will engage several groups at IU, including: the Department of Intelligent Systems Engineering (ISE), the Biocomplexity Institute, the Department of Chemistry, the Pervasive Technology Institute (PTI), and the Digital Science Center. It will integrate advanced parallel computing middleware with the Network for Computational Nanotechnology Cyber Platform (nanoHUB). The node will be headquartered at the ISE, a department that is uniquely positioned to make nanoHUB the place for collaborative interactions of the interdisciplinary nanoBIO community and training of students in nanoengineering and bioengineering focused subjects. The node will interact with Science Gateways Community Institute in a broad outreach program targeting under-represented communities through workshops and workforce development forums. Nanomaterials-based devices offer unprecedented opportunities for the targeting, imaging, and manipulation of biological systems and have the potential to revolutionize the diagnosis and treatment of many diseases including cancer. However, this excitement about the potential of nanotechnology in the biomedical field is tempered by concerns about the outcomes of the interactions between engineered nanomaterials and biological systems, because we lack a sufficient fundamental understanding to link intrinsic nanoparticle features and incubation conditions to nanoparticle assembly and transport, single-cell and multicellular behavior, and ultimately therapeutic response. The Engineered nanoBIO node at Indiana University will address this complex problem by developing new nanoscience modeling and computational tools that span a wide range of biologically relevant length and time scales. The node aims to create computational tools designed for cutting-edge research to develop biocompatible, safe, and efficient nanoscale devices. The node plans to contribute tools that: 1) design functional nanoparticles and self-assembled nanostructures with user-selected physicochemical, mechanical, and biocompatible properties, 2) evaluate and control nanodevice-cell interactions and establish nanodevice-cell phenotype links, and 3) enable the engineering of multicellular systems using the nanoscale design elements and the nanodevice-cell phenotype links. The tools will be open-sourced, helping to attract a global community of users employing the node's tools and a global community of developers enhancing them. By introducing enhancements to cyberinfrastructure capabilities in the Network for Computational Nanotechnology, the Engineered nanoBIO node will provide an overarching framework of integrated nanoBIO tools that will empower researchers to investigate macroscale biotransport and cell phenotype response to tweaks in the design of nanodevices. This will enable the development of metrics for nanodevice safety, intracellular stability, and nanodevice-based detection, imaging, and drug-delivery capabilities.
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DOI:
10.1007/978-3-030-22741-8_9
发表时间:
2019-06
期刊:
影响因子:
--
作者:
[J. Kadupitiya;G. Fox;V. Jadhao]
通讯作者:
J. Kadupitiya;G. Fox;V. Jadhao
DOI:
10.1093/bib/bbac212
发表时间:
2022-07-18
期刊:
Briefings in bioinformatics
影响因子:
9.5
作者:
[]
通讯作者:
CompuCell3D Simulations Reproduce Mesenchymal Cell Migration on Flat Substrates.
CompuCell3D 模拟再现平坦基底上的间充质细胞迁移。
DOI:
10.1016/j.bpj.2020.04.024
发表时间:
2020
期刊:
Biophysical journal
影响因子:
3.4
作者:
[Fortuna,Ismael, Perrone,GabrielC, Krug,MoniqueS, Susin,Eduarda, Belmonte,JulioM, Thomas,GilbertoL, Glazier,JamesA, deAlmeida,RitaMC]
通讯作者:
deAlmeida,RitaMC
DOI:
10.1177/1094342019899457
发表时间:
2019-10
期刊:
The International Journal of High Performance Computing Applications
影响因子:
--
作者:
[J. Kadupitiya;G. Fox;V. Jadhao]
通讯作者:
J. Kadupitiya;G. Fox;V. Jadhao
Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms
云计算和机器学习平台上的分子动力学模拟
DOI:
10.1109/cloud53861.2021.00101
发表时间:
2021
期刊:
2021 IEEE 14th International Conference on Cloud Computing (CLOUD
影响因子:
--
作者:
[Sharma, Prateek, Jadhao, Vikram]
通讯作者:
Jadhao, Vikram
共 23 条
POSE: PHASE II: Open VT - A Standardized Ecosystem for Virtual Tissue Simulation
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批准号:2303695
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项目类别:Standard Grant
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资助金额:$150.0万
-
财政年份:2023
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负责人:James Glazier
-
依托单位:
Pan-American Advanced Studies Institute on Cells to Ecosystems: Frontiers in Collaborative Quantitative Physics-Based Multiscale Modeling of Complex Biological Processes
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批准号:1242238
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项目类别:Standard Grant
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资助金额:$9.7万
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财政年份:2012
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负责人:James Glazier
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依托单位:
IDBR: Collaborative Research: Real time secretion: single cell analyzer
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批准号:1152030
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项目类别:Continuing Grant
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资助金额:$58.02万
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财政年份:2012
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负责人:James Glazier
-
依托单位:
Workshop: Biocomplexity VI - Complex Behavior in Unicellular Organisms to be held at Notre Dame University, May 2004
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批准号:0352904
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项目类别:Standard Grant
-
资助金额:$2.8万
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财政年份:2004
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负责人:James Glazier
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依托单位:
BIOCOMPLEXITY--Multiscale Simulation of Avian Limb Development
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批准号:0313730
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2002
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负责人:James Glazier
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依托单位:
BIOCOMPLEXITY--Multiscale Simulation of Avian Limb Development
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批准号:0083653
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项目类别:Standard Grant
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资助金额:$299.93万
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财政年份:2000
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负责人:James Glazier
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依托单位:
U.S.-Brazil Cooperative Research: Cellular Patterns
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批准号:9802417
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项目类别:Standard Grant
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资助金额:$1.5万
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财政年份:1998
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负责人:James Glazier
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依托单位:
U.S.-Japan Cooperative Science: Pattern Formation and Complex Systems
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批准号:9603035
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项目类别:Standard Grant
-
资助金额:$4.15万
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财政年份:1997
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负责人:James Glazier
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依托单位:
Acquisition of Wide Bore Nuclear Magnetic Resonance Imager
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批准号:9601691
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项目类别:Standard Grant
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资助金额:$43.5万
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财政年份:1996
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负责人:James Glazier
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依托单位:
Japan JSPS Program: "Dynamics of Cellular Patterns"
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批准号:9101345
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:1991
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负责人:James Glazier
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依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data
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批准号:60601030
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2006
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负责人:Axel Mosig
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依托单位: