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Journal of Biomolecular Structure and Dynamics Volume 29, 2012 - Issue 6
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Articles

Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM

Shengli Zhang Department of Mathematics, Xidian University, Xi’an, 710071, P.R. ChinaCorrespondence[email protected] [email protected]
,
Feng Ye Department of Mathematics, Xidian University, Xi’an, 710071, P.R. China
&
Xiguo Yuan School of Computer Science and Technology, Xidian University, Xi’an, 710071, P.R. China
Pages 1138-1146 | Received 26 Sep 2011, Published online: 18 Apr 2012

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Ranjeet Kumar Rout, Saiyed Umer, Sabha Sheikh, Sanchit Sindhwani & Smitarani Pati. (2022) EightyDVec: a method for protein sequence similarity analysis using physicochemical properties of amino acids. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 10:1, pages 3-13.
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Abhishikha Srivastava & Manish Kumar. (2018) Prediction of zinc binding sites in proteins using sequence derived information. Journal of Biomolecular Structure and Dynamics 36:16, pages 4413-4423.
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Shuyan Ding, Yan Li, Zhuoxing Shi & Shoujiang Yan. (2014) A protein structural classes prediction method based on predicted secondary structure and PSI-BLAST profile. Biochimie 97, pages 60-65.
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Peng Wang, Yanxia Shi, Huiyun Yang, Ouyan Shi & Chunquan Cai. (2013) Predicting protein structural class based on hidden Markov models. Predicting protein structural class based on hidden Markov models.
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Abdollah Dehzangi, Kuldip Paliwal, James Lyons, Alok Sharma & Abdul Sattar. 2013. Pattern Recognition in Bioinformatics. Pattern Recognition in Bioinformatics 208 219 .

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