Computational design of high-performance ligand for enantioselective Markovnikov hydroboration of aliphatic terminal alkenes

Trial-and-error methods to identify suitable ligands for transition metal catalysis are time-consuming and costly. Here, the authors developed a combined experimental and computational approach to design chiral ligands for the enantioselective Markovnikov hydroboration of aliphatic terminal alkenes.

Guardado en:

Detalles Bibliográficos
Autores principales:	Hiroaki Iwamoto, Tsuneo Imamoto, Hajime Ito
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6a387f52665541d5a0b847d927857121
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:6a387f52665541d5a0b847d927857121
record_format	dspace
spelling	oai:doaj.org-article:6a387f52665541d5a0b847d9278571212021-12-02T17:32:03ZComputational design of high-performance ligand for enantioselective Markovnikov hydroboration of aliphatic terminal alkenes10.1038/s41467-018-04693-92041-1723https://doaj.org/article/6a387f52665541d5a0b847d9278571212018-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-04693-9https://doaj.org/toc/2041-1723Trial-and-error methods to identify suitable ligands for transition metal catalysis are time-consuming and costly. Here, the authors developed a combined experimental and computational approach to design chiral ligands for the enantioselective Markovnikov hydroboration of aliphatic terminal alkenes.Hiroaki IwamotoTsuneo ImamotoHajime ItoNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Hiroaki Iwamoto Tsuneo Imamoto Hajime Ito Computational design of high-performance ligand for enantioselective Markovnikov hydroboration of aliphatic terminal alkenes
description	Trial-and-error methods to identify suitable ligands for transition metal catalysis are time-consuming and costly. Here, the authors developed a combined experimental and computational approach to design chiral ligands for the enantioselective Markovnikov hydroboration of aliphatic terminal alkenes.
format	article
author	Hiroaki Iwamoto Tsuneo Imamoto Hajime Ito
author_facet	Hiroaki Iwamoto Tsuneo Imamoto Hajime Ito
author_sort	Hiroaki Iwamoto
title	Computational design of high-performance ligand for enantioselective Markovnikov hydroboration of aliphatic terminal alkenes
title_short	Computational design of high-performance ligand for enantioselective Markovnikov hydroboration of aliphatic terminal alkenes
title_full	Computational design of high-performance ligand for enantioselective Markovnikov hydroboration of aliphatic terminal alkenes
title_fullStr	Computational design of high-performance ligand for enantioselective Markovnikov hydroboration of aliphatic terminal alkenes
title_full_unstemmed	Computational design of high-performance ligand for enantioselective Markovnikov hydroboration of aliphatic terminal alkenes
title_sort	computational design of high-performance ligand for enantioselective markovnikov hydroboration of aliphatic terminal alkenes
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/6a387f52665541d5a0b847d927857121
work_keys_str_mv	AT hiroakiiwamoto computationaldesignofhighperformanceligandforenantioselectivemarkovnikovhydroborationofaliphaticterminalalkenes AT tsuneoimamoto computationaldesignofhighperformanceligandforenantioselectivemarkovnikovhydroborationofaliphaticterminalalkenes AT hajimeito computationaldesignofhighperformanceligandforenantioselectivemarkovnikovhydroborationofaliphaticterminalalkenes
_version_	1718380434389204992

Computational design of high-performance ligand for enantioselective Markovnikov hydroboration of aliphatic terminal alkenes

Ejemplares similares