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A Machine-Learning Strategy for Protein Analysis
March/April 2002 (vol. 17 no. 2)
pp. 28-35

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.

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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