Recent advances in fragment-based QSAR and multi-dimensional QSAR methods.

Recent advances in fragment-based QSAR and multi-dimensional QSAR methods.
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DOI:
10.3390/ijms11103846
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发表时间:
2010-10-08
影响因子:
5.6
通讯作者:
Xie XQ
Xie XQ
中科院分区:
生物学2区
文献类型:
--
作者:
Myint KZ;Xie XQ

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本文概述了最近开发的二维(2D)片段为基础的QSAR方法,以及其他多维的方法。特别是,我们提出了最近的基于片段的QSAR方法,如基于片段相似性的QSAR(FS-QSAR),基于片段的QSAR(FB-QSAR),全息QSAR(HQSAR),和最高优先级的片段QSAR除了3D和nD-QSAR方法,如比较分子场分析(CoMFA),比较分子相似性分析(CoMSIA),拓扑异构体CoMFA,自组织分子场分析(SOMFA),比较分子矩分析(COMMA)、分子表面性质自相关(AMSP)、加权整体不变分子(WHIM)、基于网格独立描述子(GRIND)的QSAR、4D-QSAR、5D-QSAR和6D-QSAR方法。
This paper provides an overview of recently developed two dimensional (2D) fragment-based QSAR methods as well as other multi-dimensional approaches. In particular, we present recent fragment-based QSAR methods such as fragment-similarity-based QSAR (FS-QSAR), fragment-based QSAR (FB-QSAR), Hologram QSAR (HQSAR), and top priority fragment QSAR in addition to 3D- and nD-QSAR methods such as comparative molecular field analysis (CoMFA), comparative molecular similarity analysis (CoMSIA), Topomer CoMFA, self-organizing molecular field analysis (SOMFA), comparative molecular moment analysis (COMMA), autocorrelation of molecular surfaces properties (AMSP), weighted holistic invariant molecular (WHIM) descriptor-based QSAR (WHIM), grid-independent descriptors (GRIND)-based QSAR, 4D-QSAR, 5D-QSAR and 6D-QSAR methods.
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