In silico prediction of linear free energy relationship descriptors of neutral and ionic compounds

Chul-Woong Cho , Stefan Stolte , Yeoung-Sang Yun , Ingo Krossing , Jorg Thöming

Abstract

We present a prediction model for linear free energy relationship (LFER) descriptors – excess molar refraction (E), dipolarity/polarizability (S), hydrogen bonding acidity (A) & basicity (B), McGowan volume (V), and interaction of cations (J+) and anions (J−) – of both ionic and neutral compounds at the same scale. From computational calculations using density functional theory, a conductor screening model, and the OBPROP program in Turbomole, we obtained the following physicochemical sub-parameters for 992 molecules and atoms, polar surface area, molecular weight, volume, energy of van der Waals, sigma moments, molar refraction, and hydrogen-bond donor and acceptor abilities of a molecule or an atom. By making selective combinations of these sub-parameters – including also the number of rings, OH groups, and hydrogen atoms attached to nitrogen – we obtained prediction models for the LFER descriptors V, E, S, A, and B with reasonable accuracies, i.e. for a training set of compounds all R2 above 0.934. We validated the models by comparing calculated and experimentally determined LFER descriptors of a test set. Using the complete dataset, the following R2 and SE values were obtained: E (R2 = 0.949, SE = 0.136), S (R2 = 0.940, SE = 0.378), A (R2 = 0.936, SE = 0.148), B (R2 = 0.973, SE = 0.160), J+ (R2 = 0.816, SE = 0.351), and J− (R2 = 0.700, SE = 0.291). Furthermore, we demonstrated the applicability of the calculated LFER descriptors by predicting transfers of neutral and ionic compounds from water to propylene carbonate, sulfolane, and ethylene glycol with good accuracy. These results show that physicochemical properties of ionic and neutral compounds can be reliably predicted with identical LFER descriptors even for chemical entities that do not yet exist.
Author Chul-Woong Cho
Chul-Woong Cho,,
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, Stefan Stolte (FCh / DEA / LChER)
Stefan Stolte,,
- Laboratory of Chemical Environmental Risks
, Yeoung-Sang Yun
Yeoung-Sang Yun,,
-
, Ingo Krossing
Ingo Krossing,,
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, Jorg Thöming
Jorg Thöming,,
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Journal seriesRSC Advances, ISSN 2046-2069, (A 30 pkt)
Issue year2015
Vol5
No98
Pages80634-80642
Publication size in sheets0.5
DOIDOI:10.1039/c5ra13595h
URL http://pubs.rsc.org/en/content/articlepdf/2015/ra/c5ra13595h
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa - Użycie Niekomercyjne (CC-BY-NC); with publication
Score (nominal)35
ScoreMinisterial score = 35.0, 20-12-2017, ArticleFromJournal
Ministerial score (2013-2016) = 35.0, 20-12-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2015 = 3.289 (2) - 2015=3.485 (5)
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