Predicting key long-range interaction sites by B-factors

Peng Chen, Kyungsook Han, Xueling Li, De Shuang Huang

Research output: Contribution to journalArticle

11 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)478-483
Number of pages6
JournalProtein and Peptide Letters
Volume15
Issue number5
DOIs
StatePublished - Jun 2008
Externally publishedYes

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Support vector machines
3'-(1-butylphosphoryl)adenosine
Support Vector Machine

Keywords

  • B-factors
  • Bounded support vector machine
  • Local lowest B-factor sites
  • Long-range interaction sites

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

Cite this

Predicting key long-range interaction sites by B-factors. / Chen, Peng; Han, Kyungsook; Li, Xueling; Huang, De Shuang.

In: Protein and Peptide Letters, Vol. 15, No. 5, 06.2008, p. 478-483.

Research output: Contribution to journalArticle

Chen, Peng ; Han, Kyungsook ; Li, Xueling ; Huang, De Shuang. / Predicting key long-range interaction sites by B-factors. In: Protein and Peptide Letters. 2008 ; Vol. 15, No. 5. pp. 478-483.
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