Network-based prediction of protein interactions

Computational protein-protein interaction (PPI) prediction has the potential to complement experimental efforts to map interactomes. Here, the authors show that proteins tend to interact if one is similar to the other’s partners and that PPI prediction based on this principle is highly accurate.

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Autores principales:	István A. Kovács, Katja Luck, Kerstin Spirohn, Yang Wang, Carl Pollis, Sadie Schlabach, Wenting Bian, Dae-Kyum Kim, Nishka Kishore, Tong Hao, Michael A. Calderwood, Marc Vidal, Albert-László Barabási
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/1dc58c75e48743e6b75f8391a0a25af4
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spelling	oai:doaj.org-article:1dc58c75e48743e6b75f8391a0a25af42021-12-02T16:58:15ZNetwork-based prediction of protein interactions10.1038/s41467-019-09177-y2041-1723https://doaj.org/article/1dc58c75e48743e6b75f8391a0a25af42019-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09177-yhttps://doaj.org/toc/2041-1723Computational protein-protein interaction (PPI) prediction has the potential to complement experimental efforts to map interactomes. Here, the authors show that proteins tend to interact if one is similar to the other’s partners and that PPI prediction based on this principle is highly accurate.István A. KovácsKatja LuckKerstin SpirohnYang WangCarl PollisSadie SchlabachWenting BianDae-Kyum KimNishka KishoreTong HaoMichael A. CalderwoodMarc VidalAlbert-László BarabásiNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q István A. Kovács Katja Luck Kerstin Spirohn Yang Wang Carl Pollis Sadie Schlabach Wenting Bian Dae-Kyum Kim Nishka Kishore Tong Hao Michael A. Calderwood Marc Vidal Albert-László Barabási Network-based prediction of protein interactions
description	Computational protein-protein interaction (PPI) prediction has the potential to complement experimental efforts to map interactomes. Here, the authors show that proteins tend to interact if one is similar to the other’s partners and that PPI prediction based on this principle is highly accurate.
format	article
author	István A. Kovács Katja Luck Kerstin Spirohn Yang Wang Carl Pollis Sadie Schlabach Wenting Bian Dae-Kyum Kim Nishka Kishore Tong Hao Michael A. Calderwood Marc Vidal Albert-László Barabási
author_facet	István A. Kovács Katja Luck Kerstin Spirohn Yang Wang Carl Pollis Sadie Schlabach Wenting Bian Dae-Kyum Kim Nishka Kishore Tong Hao Michael A. Calderwood Marc Vidal Albert-László Barabási
author_sort	István A. Kovács
title	Network-based prediction of protein interactions
title_short	Network-based prediction of protein interactions
title_full	Network-based prediction of protein interactions
title_fullStr	Network-based prediction of protein interactions
title_full_unstemmed	Network-based prediction of protein interactions
title_sort	network-based prediction of protein interactions
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/1dc58c75e48743e6b75f8391a0a25af4
work_keys_str_mv	AT istvanakovacs networkbasedpredictionofproteininteractions AT katjaluck networkbasedpredictionofproteininteractions AT kerstinspirohn networkbasedpredictionofproteininteractions AT yangwang networkbasedpredictionofproteininteractions AT carlpollis networkbasedpredictionofproteininteractions AT sadieschlabach networkbasedpredictionofproteininteractions AT wentingbian networkbasedpredictionofproteininteractions AT daekyumkim networkbasedpredictionofproteininteractions AT nishkakishore networkbasedpredictionofproteininteractions AT tonghao networkbasedpredictionofproteininteractions AT michaelacalderwood networkbasedpredictionofproteininteractions AT marcvidal networkbasedpredictionofproteininteractions AT albertlaszlobarabasi networkbasedpredictionofproteininteractions
_version_	1718382314524770304

Network-based prediction of protein interactions

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