Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GL-BLSTM: a novel structure of bidirectional long-short term memory for
  disulfide bonding state prediction   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) for disulfide
bonding state prediction. Based on thepatterns of disulfide bond formation, a
BLSTM network called Local-BLSTM is used to extract context-basedfeatures
around every Cys residue. Another BLSTM network called Global-BLSTM is
introduced aboveLocal-BLSTM layer to integrate context-based features of all
Cys residues in the same protein chain, therebyinvolving inter-residue
relationships in the training process. According to our experimental
results,GL-BLSTMnetwork performs much better than other methods, GL-BLSTM
reached 90.26% accuracy at residue-level and 83.66% at protein-level. This
model has reached the state of the art in this field. Conclusion: GL-BLSTMs
special structure and mechanisms are beneficial to disulfide bonding state
prediction.By applying bidirectional LSTM, it can extract context based
features by processing protein sequences, therebyobtain more discriminative
information than traditional machine learning methods. Whats more,
GL-BLSTMsspecial two-layer structure enables it to extract both local and
global features, in which global features areplaying important roles in
improving prediction accuracy, especially at protein-level. Keywords: Disulfide
bonds; Prediction; Deep learning; Bidirectional long short term memory

37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
1
The categories of this paper are: cs
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph