一个使用PubChem化合物的大型分子描述符数据库。

Q2 Decision Sciences
Andreas Dander, Laurin Aj Mueller, Ralf Gallasch, Stephan Pabinger, Frank Emmert-Streib, Armin Graber, Matthias Dehmer
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引用次数: 4

摘要

背景:分子描述符在面向结构的药物设计和结构化学领域得到了广泛的应用。它们已应用于QSPR和QSAR模型来预测ADME-Tox的特性,这些特性指定了药物的基本特征。分子描述符捕获化学和结构信息,但研究它们的解释和意义仍然非常具有挑战性。结果:本文介绍了一个名为COMMODE的大型分子描述符数据库,其中包含来自PubChem的超过2500万种化合物。所有化合物的大约2500个龙描述符已经计算出来,并整合到这个数据库中,该数据库可通过http://commode.i-med.ac.at的网络界面访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

[COMMODE] a large-scale database of molecular descriptors using compounds from PubChem.

[COMMODE] a large-scale database of molecular descriptors using compounds from PubChem.

[COMMODE] a large-scale database of molecular descriptors using compounds from PubChem.

[COMMODE] a large-scale database of molecular descriptors using compounds from PubChem.

Background: Molecular descriptors have been extensively used in the field of structure-oriented drug design and structural chemistry. They have been applied in QSPR and QSAR models to predict ADME-Tox properties, which specify essential features for drugs. Molecular descriptors capture chemical and structural information, but investigating their interpretation and meaning remains very challenging.

Results: This paper introduces a large-scale database of molecular descriptors called COMMODE containing more than 25 million compounds originated from PubChem. About 2500 DRAGON-descriptors have been calculated for all compounds and integrated into this database, which is accessible through a web interface at http://commode.i-med.ac.at.

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来源期刊
Source Code for Biology and Medicine
Source Code for Biology and Medicine Decision Sciences-Information Systems and Management
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期刊介绍: Source Code for Biology and Medicine is a peer-reviewed open access, online journal that publishes articles on source code employed over a wide range of applications in biology and medicine. The journal"s aim is to publish source code for distribution and use in the public domain in order to advance biological and medical research. Through this dissemination, it may be possible to shorten the time required for solving certain computational problems for which there is limited source code availability or resources.
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