Predicting Protein Secondary and Supersecondary Structure

By Mona Singh. 2005

21 citations recorded by the source corpus.

Subfields: Molecular Biology

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In Molecular Biology

1. Lukasz Kurgan
2. Olga G. Troyanskaya
3. Jian Zhou
4. Ke Chen
5. Zhenling Peng
6. Xiaohui S. Xie
7. Daniel Quang
8. Saket Navlakha

Citations in the corpus

• Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction (2014, methodology): “…us-ing bidirectional recurrent neural networks (BRNN) (Baldi et al., 1999; Pollastri et al., 2002), probabilistic graphical models (Schmidler et al., 2000; Chu et al., 2004; van der Maaten et al., 2011), or combination of neural network and graphical models, like conditional neural fields (CNF)…”
• Computational prediction of secondary and supersecondary structures. (2013, methodology): “The alignment profile is also often used in the prediction of the supersecondary structure (52, 59, 60).”