KSIMC: Predicting kinase–Substrate interactions based on matrix completion

10.3390/ijms20020302

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Bibliographic Details
Main Authors:	Gan, J, Qiu, J, Deng, C, Lan, W, Chen, Q, Hu, Y
Other Authors:	MICROBIOLOGY AND IMMUNOLOGY
Format:	Article
Published:	2020
Subjects:	algorithm amino acid sequence Article bioinformatics computer analysis enzyme substrate complex false positive result gene expression human kinase substrate interaction measurement accuracy molecular docking protein interaction protein phosphorylation receiver operating characteristic sequence alignment signal transduction validation process antagonists and inhibitors biology biophysics chemistry enzyme specificity factual database phosphorylation protein analysis theoretical model phosphotransferase Algorithms Biophysical Phenomena Computational Biology Databases, Factual Humans Models, Theoretical Phosphorylation Phosphotransferases Protein Interaction Mapping Sequence Alignment Substrate Specificity
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/183294
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1832942024-03-27T08:16:10Z KSIMC: Predicting kinase–Substrate interactions based on matrix completion Gan, J Qiu, J Deng, C Lan, W Chen, Q Hu, Y MICROBIOLOGY AND IMMUNOLOGY algorithm amino acid sequence Article bioinformatics computer analysis enzyme substrate complex false positive result gene expression human kinase substrate interaction measurement accuracy molecular docking protein interaction protein phosphorylation receiver operating characteristic sequence alignment signal transduction validation process antagonists and inhibitors biology biophysics chemistry enzyme specificity factual database phosphorylation protein analysis theoretical model phosphotransferase Algorithms Biophysical Phenomena Computational Biology Databases, Factual Humans Models, Theoretical Phosphorylation Phosphotransferases Protein Interaction Mapping Sequence Alignment Substrate Specificity 10.3390/ijms20020302 International Journal of Molecular Sciences 20 2 302 2020-11-10T00:47:51Z 2020-11-10T00:47:51Z 2019 Article Gan, J, Qiu, J, Deng, C, Lan, W, Chen, Q, Hu, Y (2019). KSIMC: Predicting kinase–Substrate interactions based on matrix completion. International Journal of Molecular Sciences 20 (2) : 302. ScholarBank@NUS Repository. https://doi.org/10.3390/ijms20020302 16616596 https://scholarbank.nus.edu.sg/handle/10635/183294 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	algorithm amino acid sequence Article bioinformatics computer analysis enzyme substrate complex false positive result gene expression human kinase substrate interaction measurement accuracy molecular docking protein interaction protein phosphorylation receiver operating characteristic sequence alignment signal transduction validation process antagonists and inhibitors biology biophysics chemistry enzyme specificity factual database phosphorylation protein analysis theoretical model phosphotransferase Algorithms Biophysical Phenomena Computational Biology Databases, Factual Humans Models, Theoretical Phosphorylation Phosphotransferases Protein Interaction Mapping Sequence Alignment Substrate Specificity
spellingShingle	algorithm amino acid sequence Article bioinformatics computer analysis enzyme substrate complex false positive result gene expression human kinase substrate interaction measurement accuracy molecular docking protein interaction protein phosphorylation receiver operating characteristic sequence alignment signal transduction validation process antagonists and inhibitors biology biophysics chemistry enzyme specificity factual database phosphorylation protein analysis theoretical model phosphotransferase Algorithms Biophysical Phenomena Computational Biology Databases, Factual Humans Models, Theoretical Phosphorylation Phosphotransferases Protein Interaction Mapping Sequence Alignment Substrate Specificity Gan, J Qiu, J Deng, C Lan, W Chen, Q Hu, Y KSIMC: Predicting kinase–Substrate interactions based on matrix completion
description	10.3390/ijms20020302
author2	MICROBIOLOGY AND IMMUNOLOGY
author_facet	MICROBIOLOGY AND IMMUNOLOGY Gan, J Qiu, J Deng, C Lan, W Chen, Q Hu, Y
format	Article
author	Gan, J Qiu, J Deng, C Lan, W Chen, Q Hu, Y
author_sort	Gan, J
title	KSIMC: Predicting kinase–Substrate interactions based on matrix completion
title_short	KSIMC: Predicting kinase–Substrate interactions based on matrix completion
title_full	KSIMC: Predicting kinase–Substrate interactions based on matrix completion
title_fullStr	KSIMC: Predicting kinase–Substrate interactions based on matrix completion
title_full_unstemmed	KSIMC: Predicting kinase–Substrate interactions based on matrix completion
title_sort	ksimc: predicting kinase–substrate interactions based on matrix completion
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/183294
_version_	1795301380256169984

KSIMC: Predicting kinase–Substrate interactions based on matrix completion

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