Automated structure verification based on a combination of 1D 1H NMR and 2D 1H-13C HSQC spectra

被引:25
作者
Golotvin, Sergey S.
Vodopianov, Eugene
Pol, Rostislav
Lefebvre, Brent A.
Williams, Antony J.
Rutkowske, Randy D.
Spitzer, Timothy D.
机构
[1] Adv Chem Dev Inc, Moscow Dept, Moscow 117513, Russia
[2] Adv Chem Dev Inc, Toronto, ON M5C 1T4, Canada
[3] GlaxoSmithKline Inc, Res Triangle Pk, NC 27709 USA
关键词
NMR; H-1; HSQC; prediction; structure verification; automated analysis; high-throughput; computer assisted;
D O I
10.1002/mrc.2034
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A method for structure validation based on the simultaneous analysis of a 1D H-1 NMR and 2D H-1-C-13 single-bond correlation spectrum such as HSQC or HMQC is presented here. When compared with the validation of a structure by a 1D H-1 NMR spectrum alone, the advantage of including a 2D HSQC spectrum in structure validation is that it adds not only the information of C-13 shifts, but also which proton shifts they are directly coupled to, and an indication of which methylene protons are diastereotopic. The lack of corresponding peaks in the 2D spectrum that appear in the 1D H-1 spectrum, also gives a clear picture of which protons are attached to heteroatoms. For all these benefits, combined NMR verification was expected and found by all metrics to be superior to validation by 1D H-1 NMR alone. Using multiple real-life data sets of chemical structures and the corresponding 1D and 2D data, it was possible to unambiguously identify at least 90% of the correct structures. As part of this test, challenging incorrect structures, mostly regioisomers, were also matched with each spectrum set. For these incorrect structures, the false positive rate was observed as low as 6%. Copyright 2007 John Wiley & Sons, Ltd.
引用
收藏
页码:803 / 813
页数:11
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