A fast SCOP fold classification system using content-based E-Predict algorithm |
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| Authors: | Pin-Hao Chi Chi-Ren Shyu Dong Xu |
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| Affiliation: | (1) Medical and Biological Digital Library Research Lab, Department of Computer Science, University of Missouri, 65211 Columbia, MO, USA;(2) Digital Biology Laboratory, Department of Computer Science and Life Sciences Center, University of Missouri, 65211 Columbia, MO, USA |
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| Abstract: | Background Domain experts manually construct the Structural Classification of Protein (SCOP) database to categorize and compare protein structures. Even though using the SCOP database is believed to be more reliable than classification results from other methods, it is labor intensive. To mimic human classification processes, we develop an automatic SCOP fold classification system to assign possible known SCOP folds and recognize novel folds for newly-discovered proteins. |
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