Deep learning modeling m


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
17 05 2022
Historique:
received: 21 06 2021
accepted: 06 04 2022
entrez: 17 5 2022
pubmed: 18 5 2022
medline: 20 5 2022
Statut: epublish

Résumé

The N

Identifiants

pubmed: 35581216
doi: 10.1038/s41467-022-30209-7
pii: 10.1038/s41467-022-30209-7
pmc: PMC9114009
doi:

Substances chimiques

Codon, Terminator 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2720

Subventions

Organisme : NCI NIH HHS
ID : P30 CA034196
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM133711
Pays : United States

Informations de copyright

© 2022. The Author(s).

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Auteurs

Zhiyuan Luo (Z)

The Jackson Laboratory, Bar Harbor, ME, 04609, USA.

Jiacheng Zhang (J)

Graduate Program in Biophysical Sciences, The University of Chicago, Chicago, IL, 60637, USA.

Jingyi Fei (J)

Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, 60637, USA.
Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, 60637, USA.

Shengdong Ke (S)

The Jackson Laboratory, Bar Harbor, ME, 04609, USA. kelab018@gmail.com.

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Classifications MeSH