A comparison study on protein fold recognition
- 1 January 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 5, 2492-2496 vol.5
- https://doi.org/10.1109/iconip.2002.1201943
Abstract
Although two proteins may be structurally similar, they may not have significant sequence similarity. The recognition of protein fold structures without relying on sequence similarity is a complex task. This work presents a comparison study on the recognition of 3-dimensional protein folds by Machine Learning models. Combinations of neural networks were trained by bagging and arcing with two datasets available online (http://www.nersc.gov/). Our results improved the average predictive accuracy obtained by Support Vector Machines in previously published work.Keywords
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