Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index

NMR chemical shift information is highly valuable in the investigation of small molecule and protein structure. Here, the authors developed a neural network approach to unify protein chemical shifts and their changes in response to changes in protein sequence, structure, and dimerization interaction...

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Autores principales:	Gabriele Orlando, Daniele Raimondi, Wim F. Vranken
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/61e9c1f7f5bf4e32be70987487f4bd26
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spelling	oai:doaj.org-article:61e9c1f7f5bf4e32be70987487f4bd262021-12-02T17:01:47ZAuto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index10.1038/s41467-019-10322-w2041-1723https://doaj.org/article/61e9c1f7f5bf4e32be70987487f4bd262019-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10322-whttps://doaj.org/toc/2041-1723NMR chemical shift information is highly valuable in the investigation of small molecule and protein structure. Here, the authors developed a neural network approach to unify protein chemical shifts and their changes in response to changes in protein sequence, structure, and dimerization interactions.Gabriele OrlandoDaniele RaimondiWim F. VrankenNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Gabriele Orlando Daniele Raimondi Wim F. Vranken Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index
description	NMR chemical shift information is highly valuable in the investigation of small molecule and protein structure. Here, the authors developed a neural network approach to unify protein chemical shifts and their changes in response to changes in protein sequence, structure, and dimerization interactions.
format	article
author	Gabriele Orlando Daniele Raimondi Wim F. Vranken
author_facet	Gabriele Orlando Daniele Raimondi Wim F. Vranken
author_sort	Gabriele Orlando
title	Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index
title_short	Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index
title_full	Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index
title_fullStr	Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index
title_full_unstemmed	Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index
title_sort	auto-encoding nmr chemical shifts from their native vector space to a residue-level biophysical index
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/61e9c1f7f5bf4e32be70987487f4bd26
work_keys_str_mv	AT gabrieleorlando autoencodingnmrchemicalshiftsfromtheirnativevectorspacetoaresiduelevelbiophysicalindex AT danieleraimondi autoencodingnmrchemicalshiftsfromtheirnativevectorspacetoaresiduelevelbiophysicalindex AT wimfvranken autoencodingnmrchemicalshiftsfromtheirnativevectorspacetoaresiduelevelbiophysicalindex
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Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index

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