Protein secondary structure prediction.

By Geoffrey J. Barton. 1995

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Modeling aspects of the language of life through transfer-learning protein sequences (2019, background): “The concept was quickly taken up [4 – 8] and predictions improved even more with larger families increasing evolutionary information through diversity [9, 10].”
Modeling the language of life – Deep Learning Protein Sequences (2019, background): “The 5 concept was quickly followed up by many [4-8] and it was shown how much improvement was 6 possible through using larger families, i.”
Computational prediction of secondary and supersecondary structures. (2013, background): “summarized the most important advancements in this field, which were related to the use of sliding window, evolutionary information extracted from multiple sequence alignment, and machine-learning classifiers (53-55), and more recently due to the utilization of consensus-based approaches (56).”