NetTurnP--neural network prediction of beta-turns by use of evolutionary information and predicted protein sequence features.
UNLABELLED: β-turns are the most common type of non-repetitive structures, and constitute on average 25% of the amino acids in proteins. The formation of β-turns plays an important role in protein folding, protein stability and molecular recognition processes. In this work we present the neural netw...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2010-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC2994801?pdf=render |