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Issue No.02 - March/April (2002 vol.17)
pp: 28-35
ABSTRACT
<p>The authors provide a brief overview of the application of machine-learning methods to proteomic problems. They outline a novel strategy for the complete prediction of protein 3D coordinates. The strategy relies on three main successive stages: prediction of structural features, topology, and actual coordinates.</p>
INDEX TERMS
contact map, evolutionary information, protein structure prediction, protein contacts, recurrent neural networks, secondary structure, solvent accessibility
CITATION
Pierre Baldi, Gianluca Pollastri, "A Machine-Learning Strategy for Protein Analysis", IEEE Intelligent Systems, vol.17, no. 2, pp. 28-35, March/April 2002, doi:10.1109/MIS.2002.10004
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