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Protein secondary structure prediction using modular reciprocal bidirectional recurrent neural networks

✍ Scribed by Sepideh Babaei; Amir Geranmayeh; Seyyed Ali Seyyedsalehi


Book ID
113546709
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
441 KB
Volume
100
Category
Article
ISSN
0169-2607

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Prediction of protein secondary structur
✍ Yu-Dong Cai; Xiao-Jun Liu; Kuo-Chen Chou πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 75 KB πŸ‘ 1 views

## Abstract The neural network method was applied to the prediction of the content of protein secondary structure elements, including α‐helix, β‐strand, β‐bridge, 3~10~‐helix, π‐helix, H‐bonded turn, bend, and random coil. The β€œpair‐coupled amino acid composition” originally proposed by K. C. Chou