Predicting protein residue-residue contacts using random forests and deep networks
Abstract Background The ability to predict which pairs of amino acid residues in a protein are in contact with each other offers many advantages for various areas of research that focus on proteins. For example, contact prediction can be used to reduce the computational complexity of predicting the...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-03-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2627-6 |