Learning Deep Architectures for Protein Structure Prediction

Protein structure prediction is an important and fundamental problem for which machine learning techniques have been widely used in bioinformatics and computational biology. Recently, deep learning has emerged as a new active area of research in machine learning, showing great success in diverse areas of signal and information processing studies. In this article, we provide a brief review on recent development and application of deep learning methods for protein structure prediction. The objective of this review is to motivate and facilitate deep learning studies for addressing problems in bioinformatics and computational biology where interesting avenues of research can emerge.