Suppr超能文献

超越可旋转键计数:在单一描述符中捕捉三维构象灵活性。

Beyond Rotatable Bond Counts: Capturing 3D Conformational Flexibility in a Single Descriptor.

作者信息

Wicker Jerome G P, Cooper Richard I

机构信息

Chemical Crystallography, University of Oxford , Oxford OX1 3TA, U.K.

出版信息

J Chem Inf Model. 2016 Dec 27;56(12):2347-2352. doi: 10.1021/acs.jcim.6b00565. Epub 2016 Dec 6.

Abstract

A new molecular descriptor, nConf, based on chemical connectivity, is presented which captures the accessible conformational space of a molecule. Currently the best available two-dimensional descriptors for quantifying the flexibility of a particular molecule are the rotatable bond count (RBC) and the Kier flexibility index. We present a descriptor which captures this information by sampling the conformational space of a molecule using the RDKit conformer generator. Flexibility has previously been identified as a key feature in determining whether a molecule is likely to crystallize or not. For this application, nConf significantly outperforms previously reported single-variable classifiers and also assists rule-based analysis of black-box machine learning classification algorithms.

摘要

本文提出了一种基于化学连通性的新分子描述符nConf,它能够捕捉分子可及的构象空间。目前,用于量化特定分子柔性的最佳二维描述符是可旋转键数(RBC)和基尔柔性指数。我们通过使用RDKit构象生成器对分子的构象空间进行采样,提出了一种能够捕捉此信息的描述符。柔性先前已被确定为决定分子是否可能结晶的关键特征。对于此应用,nConf显著优于先前报道的单变量分类器,并且还有助于基于规则的黑箱机器学习分类算法分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f44d/5271572/f319b4546b6c/ci-2016-00565t_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验