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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Bibliographic Details
Main Author: SHIM, Kyong Jin
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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