Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research.
Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research.
复制标题
DOI：
10.1088/1749-4699/6/1/014011
复制
发表时间：
2013-11-27
期刊：
影响因子：
--
通讯作者：
Maojo V
中科院分区：
文献类型：
--
作者：
de la Iglesia D;Cachau RE;García-Remesal M;Maojo V
纳米技术代表了跨多个科学学科的一个具有特殊前景和重大机遇的领域。正在进行的纳米技术研究范围从纳米颗粒和纳米材料的表征到实验数据的分析和处理，以寻求纳米颗粒及其功能和副作用之间的相关性。由于其特殊的性质，纳米粒子适用于细胞水平的诊断和治疗，在医学上有许多应用，例如。生物医学设备、组织修复、药物输送系统和生物传感器的开发。在纳米医学中，最近的研究正在产生大量的结构和属性数据，凸显了计算方法在信息管理中的作用。虽然体外和体内检测都很昂贵，但计算成本正在下降。此外，计算方法（例如数据挖掘、知识发现、建模和模拟）准确性的提高使得有效的工具能够自动提取、管理和存储这些海量数据。由于这些信息分布广泛，一个主要问题是如何定位和访问数据所在的位置（这也带来了数据共享的限制）。纳米信息学这一新兴学科解决了与纳米技术研究相关的信息挑战。在本文中，我们总结了该领域的需求和挑战，并概述了现有的举措和努力。
Nanotechnology represents an area of particular promise and significant opportunity across multiple scientific disciplines. Ongoing nanotechnology research ranges from the characterization of nanoparticles and nanomaterials to the analysis and processing of experimental data seeking correlations between nanoparticles and their functionalities and side effects. Due to their special properties, nanoparticles are suitable for cellular-level diagnostics and therapy, offering numerous applications in medicine, e.g. development of biomedical devices, tissue repair, drug delivery systems and biosensors. In nanomedicine, recent studies are producing large amounts of structural and property data, highlighting the role for computational approaches in information management. While in vitro and in vivo assays are expensive, the cost of computing is falling. Furthermore, improvements in the accuracy of computational methods (e.g. data mining, knowledge discovery, modeling and simulation) have enabled effective tools to automate the extraction, management and storage of these vast data volumes. Since this information is widely distributed, one major issue is how to locate and access data where it resides (which also poses data-sharing limitations). The novel discipline of nanoinformatics addresses the information challenges related to nanotechnology research. In this paper, we summarize the needs and challenges in the field and present an overview of extant initiatives and efforts.