Computational Methods to Predict the Regioselectivity of Electrophilic Aromatic Substitution Reactions of Heteroaromatic Systems
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Computational Methods to Predict the Regioselectivity of Electrophilic Aromatic Substitution Reactions of Heteroaromatic Systems. / Kruszyk, Monika; Jessing, Mikkel; Kristensen, Jesper L; Jorgensen, Morten.
In: Journal of Organic Chemistry, Vol. 81, No. 12, 13.05.2016, p. 5128–5134.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Computational Methods to Predict the Regioselectivity of Electrophilic Aromatic Substitution Reactions of Heteroaromatic Systems
AU - Kruszyk, Monika
AU - Jessing, Mikkel
AU - Kristensen, Jesper L
AU - Jorgensen, Morten
PY - 2016/5/13
Y1 - 2016/5/13
N2 - The validity of calculated NMR shifts to predict the outcome of electrophilic aromatic substitution reactions on different heterocyclic compounds has been examined. Based on an analysis of >130 literature examples it was found that the lowest calculated 13C and/or 1H chemical shift of a heterocycle correlates qualitatively with the regiochemical outcome of halogenation reactions in >80% of the investigated cases. In the remaining cases, the site of electrophilic aromatic substitution can be explained by the calculated HOMO orbitals obtained using density functional theory. Using a combination of these two methods, the accuracy increases to >95%.
AB - The validity of calculated NMR shifts to predict the outcome of electrophilic aromatic substitution reactions on different heterocyclic compounds has been examined. Based on an analysis of >130 literature examples it was found that the lowest calculated 13C and/or 1H chemical shift of a heterocycle correlates qualitatively with the regiochemical outcome of halogenation reactions in >80% of the investigated cases. In the remaining cases, the site of electrophilic aromatic substitution can be explained by the calculated HOMO orbitals obtained using density functional theory. Using a combination of these two methods, the accuracy increases to >95%.
U2 - 10.1021/acs.joc.6b00584
DO - 10.1021/acs.joc.6b00584
M3 - Journal article
C2 - 27176051
VL - 81
SP - 5128
EP - 5134
JO - Journal of Organic Chemistry
JF - Journal of Organic Chemistry
SN - 0022-3263
IS - 12
ER -
ID: 161390337