MO-NanoDatabase:一个由大量金属氧化物纳米化合物、它们的全局性质和三维结构组成的金属氧化物纳米结构化合物数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Francesc Serratosa, Natàlia Segura-Alabart
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引用次数: 0

摘要

本文介绍了金属氧化物纳米化合物的第一次重要的重新编译,它由三个主要部分组成:第一部分包括纳米化合物的几个全局性质,第二部分包括它们的三维结构,由众所周知的XYZ格式表示。最后,第三部分包括这些三维结构的结构纳米QSAR,即纳米指纹。模拟真实尺寸的金属氧化物纳米材料来分析它们的一些性质,如化学活性、溶解度或电子结构,是当前计算和理论化学中的一个挑战。基于这些化合物的全局性质,已经发表了几种纳米QSAR模型,但很少有QSAR模型也利用了它们的三维结构。一个通用的纳米化合物数据库对于验证当前和未来的模型至关重要。这些整体性质已经从数据集中提取出来,作为提出金属氧化物纳米化合物性质预测新模型的论文的支持材料[2-7]。由于我们意识到单位、格式和命名法的通用性较低,因此数据已被整理、施加相同的单位、格式化并赋予每个属性相同的名称。请注意,QSAR模型的输入参数以及要预测的属性已作为我们数据库中的全局属性放在一起。此外,由于在大多数情况下无法找到这些结构,因此通过模拟计算机应用计算了所有化合物的三维晶体结构。由于这是第一次将所有这些知识汇编在一个独特的数据库中,MO-NanoDatabase的目的是为当前和未来的纳米QSART模型提供一个预测金属氧化物纳米化合物(化学活性,溶解度或电子结构)的参考数据库。尽管许多纳米化合物已经被收录,但如果新版本的数据库在未来的论文中带来了大量的新纳米化合物,则不会被丢弃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MO-NanoDatabase: A metal-oxide nanostructured compound dataset composed of a huge number of metal-oxide nanocompounds, their global properties and 3D-structure
This paper presents the first important recompilation of metal-oxide nanocompounds, which is composed of three main parts: the first one includes several global properties of the nanocompounds whereas the second one includes their 3D structure, represented by the well-known XYZ format. Finally, the third part includes the structural nano QSAR named NanoFingerprint of these 3D structures. Modelling size-realistic metal-oxide nanomaterials to analyse some of their properties, such as chemical activity, solubility, or electronic structure, is a current challenge in computational and theoretical chemistry. Several nano QSAR models have been published based on global properties of these compounds, but few QSAR models also leverage their 3D structure. A general database of nanocompounds is crucial for the validation of current and future models.
The global properties have been extracted from datasets published as the supporting material of papers that present new models for property prediction of metal-oxide nanocompounds [2–7]. The data has been curated, imposed the same units, formatted and given the same name per property since we realised the low generalisation on units, formats and nomenclature. Note the input parameters of the QSAR models and also the properties to be predicted have been put together as global properties in our database. Moreover, the 3D crystallographic structure has been computed through simulation computer applications of all the compounds since these structures could not be found in most of the cases.
Since it is the first time that all this knowledge is compiled in a unique database, the purpose of MO-NanoDatabase is to be a reference database for prediction (chemical activity, solubility or electronic structure) of metal-oxide nanocompounds for current and future nano QSART models. Although many nanocompounds have been included, new versions of the database are not discarded if they bring substantial quantity of new nanocompounds presented in future papers.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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