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Abstract
Protein fold recognition using machine learning-based methods is crucial in the protein structure discovery, especially when the traditional sequence comparison methods fail because the structurally-similar proteins share little in the way of sequence homology. Many different machine learning-based fold classification methods have been proposed with still increasing accuracy and the main aim of this article is to cover all the major results in this field.
Received: 2011-06-08
Revised: 2011-09-24
Accepted: 2011-12-5
Published Online: 2012
Published in Print: 2012
©Jagiellonian University, Medical College, Kraków, Poland, 2012
