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CIBCB
2006
IEEE

Optimization of the Sliding Window Size for Protein Structure Prediction

14 years 5 months ago
Optimization of the Sliding Window Size for Protein Structure Prediction
- Sliding window based methods are relatively often applied in prediction of various aspects related to protein structure. Despite their wide spread use, researchers did not establish a standard related to the size of the window, i.e., window sizes ranging between 7 and 17 residues were used in the past. To this end, this paper performs a computational study based on a probabilistic approach that aims at finding an optimal sliding window size. The results shows that formation of helical structure can be affected by amino acids (AAs) that are up to 9 positions away in the sequence, while the formation of coils and strands can be affected by AAs that are up to 3 and 6 positions away, respectively. Overall, our results suggest that a sliding window with 19 residues is optimal for secondary structure prediction, while for a specific prediction tasks, such as prediction of βstrands, a smaller window size is sufficient. Finally, the 20 AAs are categorized into five groups based on their inf...
Ke Chen, Lukasz A. Kurgan, Jishou Ruan
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where CIBCB
Authors Ke Chen, Lukasz A. Kurgan, Jishou Ruan
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