Chinese Journal of Magnetic Resonance ›› 2000, Vol. 17 ›› Issue (4): 317-322.

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ON 13C NMR SPECTROSCOPY:APPROACH TO QUANTITATIVE MOLECULAR MODELLING (QMM) FOR CHEMICAL SHIFT (CSC) IN HALOALKANES BY MULTIPLE LINEAR REGRESSION (MLR) WITH SUBGRAPH INDEX VECTOR (VSG)

YUAN Xiaoyan1,2, CHEN Gang2, QIU Ximin3, YU Banmei4, HUANG Ying2,5, LI Zhiliang2,5   

  1. 1. Department of Chemistry and Physics, Changsha University, Changsha 410003;
    2. College of Chemistry and Chemical Engineering. Institute of Chemometrics and Pharmacy ICP, Hunan University, Changsha 410082
  • Received:1999-11-29 Revised:2000-04-18 Published:2000-08-05 Online:2018-01-11

Abstract: Systematic studies were made on graph theory in quantitative structure-activity/property relationships(QSAR/QSPR). Here Quantitative Molecular Modelling (QMM) was done on quantitative structure-spec trum relationship (QSSR) studies. The regularity of chemical shift (CSC) for carbon-13 nuclear magnetic resona nce (13C NMR) in 70 Haloalkanes was modelled and/or predicted by using a set of novel chemical graph indices, called molecular topological subgraph index vector (VSG), the newly developed SGI descriptors with R > 0.95 as an equation of multiple variables:
CSC=∑q=1Qbqgq=b*X=44.124+30.216X1+11.672X2-14.591X3-72.819X4 N=45,R=0.9741,SD=22.7612,F=185.6123,U=384642.0000,Q=20722.875 where q=1 to 4 (F,Cl,Br,I), with good results.

Key words: Quantitative structure activity/property/spectrum relationships (QSAR/QSPR/QSSR).Quantitative Molecular Modelling (QMM), Chemical shift sum (CSS), Carbon-13 nuclear magnetic resonance (13C NMR), Haloalkanes, Novel chemical graph indices, Integrated molecular topological subgraphv ector (VMSG,g)