Comparison of Protein Phosphorylation Site Prediction Tools

DOI

10.2991/bst-17.2018.22How to use a DOI?

Keywords

Phosphorylation, Phosphorylation site, Prediction tools, Protein kinases.

Abstract

To have a better understanding of phosphorylation site prediction methods, this article made a comparison of 4 online prediction tools and submitted protein sequences to these tools for analysis. The prediction results suggestted that they play a complementary role with verification experiments in protein phosphorylation study. The problems of datasets and technical factors will limit the application and these computational methods will benefit from bioinformatics improvement.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yao Sun
AU  - Guo-Qing Huang
AU  - Yao Li
AU  - Jia-Ying Xue
AU  - Qiong Wu
AU  - Lei Wang
PY  - 2018/02
DA  - 2018/02
TI  - Comparison of Protein Phosphorylation Site Prediction Tools
BT  - Proceedings of the 2017 2nd International Conference on Biological Sciences and Technology (BST 2017)
PB  - Atlantis Press
SP  - 148
EP  - 154
SN  - 2468-5747
UR  - https://doi.org/10.2991/bst-17.2018.22
DO  - 10.2991/bst-17.2018.22
ID  - Sun2018/02
ER  -