Evaluation of Protein Backbone Alphabets: Using Predicted Local Structure for Fold Recognition
Optimally combining available information is one of the key challenges in knowledge-driven prediction techniques. In this study, we evaluate six Phi and Psi-based backbone alphabets. We show that the addition of predicted backbone conformations to SVM classifiers can improve fold recognition. Our ex...
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Main Author: | SHIM, Kyong Jin |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2010
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Online Access: | https://ink.library.smu.edu.sg/sis_research/1527 https://ink.library.smu.edu.sg/context/sis_research/article/2526/viewcontent/10_015.pdf |
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Institution: | Singapore Management University |
Language: | English |
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