five

Tensor algebra-based geometric methodology to codify central chirality on organic molecules

收藏
Taylor & Francis Group2017-07-24 更新2026-04-16 收录
下载链接:
https://tandf.figshare.com/articles/dataset/Tensor_algebra-based_geometric_methodology_to_codify_central_chirality_on_organic_molecules/5208748/1
下载链接
链接失效反馈
官方服务:
资源简介:
A novel mathematical procedure to codify chiral features of organic molecules in the QuBiLS-MIDAS framework is introduced. This procedure constitutes a generalization to that commonly used to date, where the values 1 and −1 (correction factor) are employed to weight the molecular vectors when each atom is labelled as R (<i>rectus</i>) or S (<i>sinister</i>) according to the Cahn–Ingold–Prelog rules. Therefore, values in the range with steps equal to 0.25 may be accounted for. The atoms labelled R or S can have negative and positive values assigned (e.g. −3 for an R atom and 1 for an S atom, or vice versa), opposed values (e.g. −3 for an R atom and 3 for an S atom, or vice versa), positive values (e.g. 3 for an R atom and 1 for an S atom) or negative values (e.g. −3 for an R atom and −1 for an S atom). These proposed Chiral QuBiLS-MIDAS 3D-MDs are real numbers, non-symmetric and reduced to ‘classical’ (non-chiral) QuBiLS-MIDAS 3D-MDs when symmetry is not codified (correction factor equal to zero). In this report, only the factors with opposed values were considered with the purpose of demonstrating the feasibility of this proposal. From QSAR modelling carried out on four chemical datasets (Cramer’s steroids, fenoterol stereoisomer derivatives, <i>N</i>-alkylated 3-(3-hydroxyphenyl)-piperidines, and perindoprilat stereoisomers), it was demonstrated that the use of several correction factors contributes to the building of models with greater robustness and predictive ability than those reported in the literature, as well as with respect to the models exclusively developed with QuBiLS-MIDAS 3D-MDs based on the factor 1 | −1. In conclusion, it can be stated that this novel strategy constitutes a suitable alternative to computed chirality-based descriptors, contributing to the development of good models to predict properties depending on symmetry.
提供机构:
L. Cabrera-Leyva; C. R. García-Jacas; J. C. Ledesma-Romero; A. R. Rodríguez-León; T. Hernández-Ortega; Y. Marrero-Ponce; I. Aguilera-Fernández; K. Martinez-Mayorga
创建时间:
2017-07-14
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作