Computational identification of phosphorylation sites around nuclear localization signal sequence reveals new insight into genes associated with human diseases

@inproceedings{Hu2017ComputationalIO,
  title={Computational identification of phosphorylation sites around nuclear localization signal sequence reveals new insight into genes associated with human diseases},
  author={Jianjun Hu and Ommega Internationals},
  year={2017}
}
Alterations in protein Subcellular localization often contribute to the development of human diseases. Post-transcriptional modifications, such as phosphorylation on the Nuclear Localization Signal (NLS), may change the protein’s localization. However, little is known about the frequency and local effects of phosphorylation near NLS sites. In this study, a computer program was developed to search various databases in order to find proteins with NLS Phosphorylations, and any diseases that are… Expand

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