High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures
By Iddo Drori, Isht Dwivedi, P. Shrestha, Jeffrey Wan, Yueqi Wang, Yunchu He, Anthony Mazza, Hugh Krogh-Freeman, Dimitri Leggas, Kendal Sandridge and 6 more. 2018
Subfields: Model Architectures, Computational Biology & Bioinformatics
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In Model Architectures
- Alexander Rives
- C. Lawrence Zitnick
- Rob Fergus
- Jerry Ma
- Demi Guo
- Myle Ott
- Joshua Meier
- Christoph Feichtenhofer
In Computational Biology & Bioinformatics
- Alexander Rives
- C. Lawrence Zitnick
- Rob Fergus
- Jerry Ma
- Siddharth Goyal
- Demi Guo
- Myle Ott
- Joshua Meier
Citations in the corpus
- Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences (2019, methodology): “For calibration, current state-of-the-art on the same dataset is 84 % on the Q3 (3-class) task (Wang et al., 2016) or 70.5% on Q8 (8-class) task (Drori et al., 2018) using a technique considerably more sophisticated than linear projection.”