2015
DOI: 10.1038/nature14615
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Conversion of amides to esters by the nickel-catalysed activation of amide C–N bonds

Abstract: Amides are common functional groups that have been well studied for more than a century.1 They serve as the key building blocks of proteins and are present in an broad range of other natural and synthetic compounds. Amides are known to be poor electrophiles, which is typically attributed to resonance stability of the amide bond.1,2 Whereas Nature can easily cleave amides through the action of enzymes, such as proteases,3 the ability to selectively break the C–N bond of an amide using synthetic chemistry is qui… Show more

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Cited by 512 publications
(311 citation statements)
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“…This finding is consistent with the overall reaction (i.e., ester 5 + amine 6 → amide 7 + methanol) being energetically uphill, which would be expected based on our recent studies. [10] However, the addition of Al(O t Bu) 3 was found to have a critical beneficial effect and led to the formation of amide 7 in 89% yield. [12] As described in the latter part of the manuscript, we propose that Al(O t Bu) 3 benefits the reaction both kinetically and thermodynamically.…”
mentioning
confidence: 99%
“…This finding is consistent with the overall reaction (i.e., ester 5 + amine 6 → amide 7 + methanol) being energetically uphill, which would be expected based on our recent studies. [10] However, the addition of Al(O t Bu) 3 was found to have a critical beneficial effect and led to the formation of amide 7 in 89% yield. [12] As described in the latter part of the manuscript, we propose that Al(O t Bu) 3 benefits the reaction both kinetically and thermodynamically.…”
mentioning
confidence: 99%
“…酰胺催化转化的第二类方法始于 2015 年, Garg 和 Houk 小组合作, 率先实现了温和条件下酰胺向酯的镍 催化转化(图式 11a) [52] . 尽管该反应只局限于 N-芳基苯 甲酰胺类化合物, 但仍然是酰胺催化转化的重要突破, 因而与 Ni(价格较低廉且地球丰产金属)催化的其它转化 一起, 被美国化学会《美国化学与工程新闻》(C & EN News)评为 2015 年化学的突破之一 [53,54] .…”
Section: 酰胺的催化偶联反应unclassified
“…The development of quantum‐chemical approaches has already opened some opportunities in this direction, and in many cases, the outcomes of experiments can be efficiently modeled in silico 1, 2, 3, 4, 5, 6. The advent of artificial intelligence (AI) algorithms to automatize, improve, and generalize predictions is gaining importance in this field, and several recent studies have been published in this area.…”
mentioning
confidence: 99%