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article · BMC Bioinformatics · 2008

Prediction of protein-protein binding site by using core interface residue and support vector machine

Nan Li, Zhonghua Sun, Fan Jiang

Cited by 74Open access

Abstract

By improving both the descriptions of the interface residues and their surrounding environment and the training strategy, better SVM models were obtained and shown to outperform previous methods. Our tests on the unbound protein structures suggest further improvement is possible.

Cite this paper

APA 7

Li, N., Sun, Z., & Jiang, F. (2008). Prediction of protein-protein binding site by using core interface residue and support vector machine. BMC Bioinformatics, 9(1), 553. https://doi.org/10.1186/1471-2105-9-553

MLA 9

Li, Nan, et al. “Prediction of protein-protein binding site by using core interface residue and support vector machine.” BMC Bioinformatics, vol. 9, no. 1, 2008, p. 553, https://doi.org/10.1186/1471-2105-9-553.

Chicago

Li, Nan, Zhonghua Sun, and Fan Jiang. 2008. “Prediction of protein-protein binding site by using core interface residue and support vector machine.” BMC Bioinformatics 9 (1): 553. https://doi.org/10.1186/1471-2105-9-553.

Harvard

Li, N., Sun, Z. and Jiang, F. (2008) ‘Prediction of protein-protein binding site by using core interface residue and support vector machine’, BMC Bioinformatics, 9(1), p. 553. Available at: https://doi.org/10.1186/1471-2105-9-553.

BibTeX
@article{li2008prediction,
  title = {{Prediction of protein-protein binding site by using core interface residue and support vector machine}},
  author = {Li, Nan and Sun, Zhonghua and Jiang, Fan},
  journal = {BMC Bioinformatics},
  volume = {9},
  number = {1},
  pages = {553},
  year = {2008},
  doi = {10.1186/1471-2105-9-553}
}

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