RF-MaloSite and DL-Malosite: Methods based on random forest and deep learning to identify malonylation sites

RF-MaloSite and DL-Malosite: Methods based on random forest and deep learning to identify malonylation sites

Malonylation, which has recently emerged as an important lysine modification, regulates diverse biological activities and has been implicated in several pervasive disorders, including cardiovascular disease and cancer. However, conventional global proteomics analysis using tandem mass spectrometry c...

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Bibliographic Details
Main Authors: Hussam AL-barakati, Niraj Thapa, Saigo Hiroto, Kaushik Roy, Robert H. Newman, Dukka KC
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Malonylation
Post-translational Modification Sites
Random forest
Deep learning
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037019304611

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http://www.sciencedirect.com/science/article/pii/S2001037019304611

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