Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks

Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks

Abstract Background Protein post-translational modification (PTM) is a key issue to investigate the mechanism of protein’s function. With the rapid development of proteomics technology, a large amount of protein sequence data has been generated, which highlights the importance of the in-depth study...

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Bibliographic Details
Main Authors: Yingxi Yang, Hui Wang, Wen Li, Xiaobo Wang, Shizhao Wei, Yulong Liu, Yan Xu
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Bioinformatics
Subjects:
Post-translational modification
Deep learning
Generative adversarial networks
Random forest
Online Access:https://doi.org/10.1186/s12859-021-04101-y

Internet

https://doi.org/10.1186/s12859-021-04101-y

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