alexa Abstract | A Short Review of Deep Learning Neural Networks in Protein Structure Prediction Problems
ISSN: 2379-1764

Advanced Techniques in Biology & Medicine
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Abstract

Determining the structure of a protein given its sequence is a challenging problem. Deep learning is a rapidly evolving field which excels at problems where there are complex relationships between input features and desired outputs. Deep Neural Networks have become popular for solving problems in protein science. Various deep neural network architectures have been proposed including deep feed-forward neural networks, recurrent neural networks and more recently neural Turing machines and memory networks. This article provides a short review of deep learning applied to protein prediction problems.

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Author(s): Kuldip Paliwal, James Lyons and Rhys Heffernan

Keywords

Deep neural networks, Recurrent neural networks, Protein structure prediction, Molecular Biology Techniques, Radiolabelling Techniques in Biology, Structural Biology Techniques

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