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Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Authors:Mikael Bodén   Zheng Yuan  Timothy L Bailey
Affiliation:(1) School of Information Technology and Electrical Engineering, The University of Queensland, QLD 4072 St Lucia, Australia;(2) Institute of Molecular Bioscience, The University of Queensland, QLD 4072 St Lucia, Australia
Abstract:

Background  

The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for predicting a continuum secondary structure, i.e. assigning probabilities to the conformational states of a residue. We train our methods using data derived from high-quality NMR models.
Keywords:
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