Abstract
In this paper, we adopted the bounded support vector machine to locate the key long-range interaction sites by the use of predicted local lowest B-factors. As a result, the key long-range interaction residues can be located based on information of local lowest B-factor sites.
Keywords: B-factors, bounded support vector machine, long-range interaction sites, local lowest B-factor sites
Protein & Peptide Letters
Title: Predicting Key Long-Range Interaction Sites by B-Factors
Volume: 15 Issue: 5
Author(s): Peng Chen, Kyungsook Han, Xueling Li and De-Shuang Huang
Affiliation:
Keywords: B-factors, bounded support vector machine, long-range interaction sites, local lowest B-factor sites
Abstract: In this paper, we adopted the bounded support vector machine to locate the key long-range interaction sites by the use of predicted local lowest B-factors. As a result, the key long-range interaction residues can be located based on information of local lowest B-factor sites.
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Cite this article as:
Chen Peng, Han Kyungsook, Li Xueling and Huang De-Shuang, Predicting Key Long-Range Interaction Sites by B-Factors, Protein & Peptide Letters 2008; 15 (5) . https://dx.doi.org/10.2174/092986608784567573
DOI https://dx.doi.org/10.2174/092986608784567573 |
Print ISSN 0929-8665 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5305 |

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