PredPPCrys: Accurate Prediction of Sequence Cloning, Protein Production, Purification and Crystallization Propensity from Protein Sequences Using Multi-Step Heterogeneous Feature Fusion and Selection
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DOI: 10.1371/journal.pone.0105902
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References listed on IDEAS
- Xiao-Feng Wang & Zhen Chen & Chuan Wang & Ren-Xiang Yan & Ziding Zhang & Jiangning Song, 2011. "Predicting Residue-Residue Contacts and Helix-Helix Interactions in Transmembrane Proteins Using an Integrative Feature-Based Random Forest Approach," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-11, October.
- Cheng Zheng & Mingjun Wang & Kazuhiro Takemoto & Tatsuya Akutsu & Ziding Zhang & Jiangning Song, 2012. "An Integrative Computational Framework Based on a Two-Step Random Forest Algorithm Improves Prediction of Zinc-Binding Sites in Proteins," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-15, November.
- Jiangning Song & Hao Tan & Andrew J Perry & Tatsuya Akutsu & Geoffrey I Webb & James C Whisstock & Robert N Pike, 2012. "PROSPER: An Integrated Feature-Based Tool for Predicting Protease Substrate Cleavage Sites," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-23, November.
- Lu-Lu Zheng & Shen Niu & Pei Hao & KaiYan Feng & Yu-Dong Cai & Yixue Li, 2011. "Prediction of Protein Modification Sites of Pyrrolidone Carboxylic Acid Using mRMR Feature Selection and Analysis," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-11, December.
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