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A data-intensive approach to mechanistic elucidation applied to chiral anion catalysis

Knowledge of chemical reaction mechanisms can facilitate catalyst optimization, but extracting that knowledge from a complex system is often challenging. Here we present a data-intensive method for deriving and then predictively applying a mechanistic model of an enantioselective organic reaction. A...

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Vydáno v:Science
Hlavní autoři: Milo, Anat, Neel, Andrew J., Toste, F. Dean, Sigman, Matthew S.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2015
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4465137/
https://ncbi.nlm.nih.gov/pubmed/25678656
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/science.1261043
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