Robust inference of kinase activity using functional networks

Kinases drive fundamental changes in cell state, but predicting kinase activity based on substrate-level changes can be challenging. Here the authors introduce a computational framework that utilizes similarities between substrates to robustly infer kinase activity.

Bibliographic Details
Main Authors:	Serhan Yılmaz, Marzieh Ayati, Daniela Schlatzer, A. Ercüment Çiçek, Mark R. Chance, Mehmet Koyutürk
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-02-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-021-21211-6

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record_format	Article
spelling	doaj-91396e4de4ab46f3a89cbb70ee6231942021-02-21T12:13:46ZengNature Publishing GroupNature Communications2041-17232021-02-0112111210.1038/s41467-021-21211-6Robust inference of kinase activity using functional networksSerhan Yılmaz0Marzieh Ayati1Daniela Schlatzer2A. Ercüment Çiçek3Mark R. Chance4Mehmet Koyutürk5Department of Computer and Data Sciences, Case Western Reserve UniversityDepartment of Computer Science, University of Texas Rio Grande ValleyCenter for Proteomics and Bioinformatics, Case Western Reserve UniversityDepartment of Computer Engineering, Bilkent UniversityCenter for Proteomics and Bioinformatics, Case Western Reserve UniversityDepartment of Computer and Data Sciences, Case Western Reserve UniversityKinases drive fundamental changes in cell state, but predicting kinase activity based on substrate-level changes can be challenging. Here the authors introduce a computational framework that utilizes similarities between substrates to robustly infer kinase activity.https://doi.org/10.1038/s41467-021-21211-6
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Serhan Yılmaz Marzieh Ayati Daniela Schlatzer A. Ercüment Çiçek Mark R. Chance Mehmet Koyutürk
spellingShingle	Serhan Yılmaz Marzieh Ayati Daniela Schlatzer A. Ercüment Çiçek Mark R. Chance Mehmet Koyutürk Robust inference of kinase activity using functional networks Nature Communications
author_facet	Serhan Yılmaz Marzieh Ayati Daniela Schlatzer A. Ercüment Çiçek Mark R. Chance Mehmet Koyutürk
author_sort	Serhan Yılmaz
title	Robust inference of kinase activity using functional networks
title_short	Robust inference of kinase activity using functional networks
title_full	Robust inference of kinase activity using functional networks
title_fullStr	Robust inference of kinase activity using functional networks
title_full_unstemmed	Robust inference of kinase activity using functional networks
title_sort	robust inference of kinase activity using functional networks
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2021-02-01
description	Kinases drive fundamental changes in cell state, but predicting kinase activity based on substrate-level changes can be challenging. Here the authors introduce a computational framework that utilizes similarities between substrates to robustly infer kinase activity.
url	https://doi.org/10.1038/s41467-021-21211-6
work_keys_str_mv	AT serhanyılmaz robustinferenceofkinaseactivityusingfunctionalnetworks AT marziehayati robustinferenceofkinaseactivityusingfunctionalnetworks AT danielaschlatzer robustinferenceofkinaseactivityusingfunctionalnetworks AT aercumentcicek robustinferenceofkinaseactivityusingfunctionalnetworks AT markrchance robustinferenceofkinaseactivityusingfunctionalnetworks AT mehmetkoyuturk robustinferenceofkinaseactivityusingfunctionalnetworks
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Robust inference of kinase activity using functional networks

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