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Deep learning methods in protein structure prediction
2020
Computational and Structural Biotechnology Journal
Protein Structure Prediction is a central topic in Structural Bioinformatics. Since the '60s statistical methods, followed by increasingly complex Machine Learning and recently Deep Learning methods, have been employed to predict protein structural information at various levels of detail. In this review, we briefly introduce the problem of protein structure prediction and essential elements of Deep Learning (such as Convolutional Neural Networks, Recurrent Neural Networks and basic feed-forward
doi:10.1016/j.csbj.2019.12.011
pmid:32612753
pmcid:PMC7305407
fatcat:pgnqeqjggrhlxoza3ejylhdc2e