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Improved method for predicting protein fold patterns with ensemble classifiers
2012
Genetics and Molecular Research
Protein folding is recognized as a critical problem in the field of biophysics in the 21st century. Predicting protein-folding patterns is challenging due to the complex structure of proteins. In an attempt to solve this problem, we employed ensemble classifiers to improve prediction accuracy. In our experiments, 188-dimensional features were extracted based on the composition and physical-chemical property of proteins and 20-dimensional features were selected using a coupled position-specific
doi:10.4238/2012.january.27.4
pmid:22370884
fatcat:dvvjoiwfgjhxjd6sg7pgdwsk54