Classifies the protein fold by combing the results from two algorithms, HH-fold and support vector machines (SVM)-fold. TA-fold is an ensemble approach proposed to combine the results of these algorithms. HH-fold is a template-based fold assignment algorithm using the Hidden Markov Model (HMM)-HMM alignment program HHsearch. SVM-fold is a support vector machine-based ab-initio classification algorithm. When there are homologous templates to the query protein, HH-fold prediction is reported. Otherwise, the SVM-fold prediction is returned.

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TA-fold classification

TA-fold specifications

Software type:
Package
Restrictions to use:
None
Input format:
FASTA
Computer skills:
Basic
Interface:
Web user interface
Input data:
A protein sequence
Output data:
Predicted fold type
Stability:
Stable

Publications

  • (Xia et al., 2016) An ensemble approach to protein fold classification by integration of template-based assignment and support vector machine classifier. Bioinformatics.
    PMID: 28039166

Credits

Institution(s)

Department of Physics, Northeast Forestry University, Harbin, China; Center for Applied Mathematics, Tianjin University, Tianjin, China; School of Mathematical Sciences, Nankai University, Tianjin, China

Funding source(s)

The project is supported in part by National Natural Science Foundation of China (11501306, 11501407), China National 863 High-Tech Program (2015AA020101) and the Thousand Youth Talents Plan of China.

Link to literature

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