KsrMKL: a novel method for identification of kinase-substrate relationships using multiple kernel learning.
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ABSTRACT:
SUBMITTER: Wang M
PROVIDER: S-EPMC5741978 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Publications
ksrMKL: a novel method for identification of kinase-substrate relationships using multiple kernel learning.
Wang Minghui M Wang Tao T Li Ao A
PeerJ 20171220
Phosphorylation exerts a crucial role in multiple biological cellular processes which is catalyzed by protein kinases and closely related to many diseases. Identification of kinase-substrate relationships is important for understanding phosphorylation and provides a fundamental basis for further disease-related research and drug design. In this study, we develop a novel computational method to identify kinase-substrate relationships based on multiple kernel learning. The comparative analysis is ...[more]
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| S-EPMC7683420 | biostudies-literature