Crossref journal-article
Wiley
Journal of Physical Organic Chemistry (311)
Abstract

AbstractLarge and diverse databases of chemical reactions contain statistically significant information about the propensities of molecules to undergo specific chemical transformations. It is shown that this information can be quantified to reflect reaction thermodynamics/kinetics and can be used to construct primitive (yet accurate) reactivity indices from the counts of reported reactions involving molecules/molecular positions of interest. These indices correlate with frontier orbital (FO) populations or Hammettσandρparameters for a range of reactions involving aromatic substrates. These findings suggest that large chemical databases are not only a historical repository of chemical knowledge but also tools with which one can make useful chemical predictions. Copyright © 2009 John Wiley & Sons, Ltd.

Bibliography

Kowalczyk, B., Bishop, K. J. M., Smoukov, S. K., & Grzybowski, B. A. (2009). Synthetic popularity reflects chemical reactivity. Journal of Physical Organic Chemistry, 22(9), 897–902. Portico.

Authors 4
  1. Bartlomiej Kowalczyk (first)
  2. Kyle J. M. Bishop (additional)
  3. Stoyan K. Smoukov (additional)
  4. Bartosz A. Grzybowski (additional)
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Dates
Type When
Created 16 years, 4 months ago (April 21, 2009, 6:41 a.m.)
Deposited 1 year, 5 months ago (March 12, 2024, 3:49 p.m.)
Indexed 1 year, 5 months ago (March 12, 2024, 4:11 p.m.)
Issued 16 years, 4 months ago (April 21, 2009)
Published 16 years, 4 months ago (April 21, 2009)
Published Online 16 years, 4 months ago (April 21, 2009)
Published Print 15 years, 11 months ago (Sept. 1, 2009)
Funders 0

None

@article{Kowalczyk_2009, title={Synthetic popularity reflects chemical reactivity}, volume={22}, ISSN={1099-1395}, url={http://dx.doi.org/10.1002/poc.1535}, DOI={10.1002/poc.1535}, number={9}, journal={Journal of Physical Organic Chemistry}, publisher={Wiley}, author={Kowalczyk, Bartlomiej and Bishop, Kyle J. M. and Smoukov, Stoyan K. and Grzybowski, Bartosz A.}, year={2009}, month=apr, pages={897–902} }