Deciding which is the best 1H NMR predictor for organic compounds using statistical tools

Mah, W.H. and Nazuan, N.H.A. and Yeap, W.S. and Fakharudin, F.H. and Faye, I. and Wilfred, C.D. (2022) Deciding which is the best 1H NMR predictor for organic compounds using statistical tools. Comptes Rendus Chimie, 25. pp. 83-95.

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

1H NMR chemical shifts for 30 organic compounds (396 data points) were predicted using four NMR predictor software and compared with the experimental data from SDBS. The NMR predictors involved were MestReNova, ChemDraw, NMRShiftDB and ACD Workbook Suite. Root mean square deviation (RMSD) and mean absolute percentage error (MAPE) were calculated from the data obtained. One-way analysis of variance (ANOVA), Tukey's honestly significant difference (HSD) and t -test were carried out to analyse the statistical significance of the differences between the predictors. The results from the statistical analysis were used to predict chemical shifts of three organic compounds. © 2022 Elsevier Masson SAS. All rights reserved.

Item Type: Article
Impact Factor: cited By 0
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 28 Mar 2022 13:50
Last Modified: 28 Mar 2022 13:50
URI: http://scholars.utp.edu.my/id/eprint/32367

Actions (login required)

View Item
View Item