• Corpus ID: 51972549

GL-BLSTM: a novel structure of bidirectional long-short term memory for disulfide bonding state prediction

  title={GL-BLSTM: a novel structure of bidirectional long-short term memory for disulfide bonding state prediction},
  author={Junshu Jiang and Shang-shu Zou and Yu Sun and Shengxiang Zhang College of Life Sciences and Southeast University and Guangzhou and Guangdong and China Department of Mathematics and Informatics and China.},
  journal={arXiv: Quantitative Methods},
Background: Disulfide bonds are crucial to protein structural formation. Developing an effective method topredict disulfide bonding formation is important for protein structural modeling and functional study. Mostcurrent methods still have shortcomings, including low accuracy and strict requirements for the selection ofdiscriminative features. Results: In this study, we introduced a nested structure of Bidirectional Long-short Term Memory(BLSTM)neural network called Global-Local-BLSTM (GL-BLSTM… 
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