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BMCBI
2007

Efficacy of different protein descriptors in predicting protein functional families

11 years 9 months ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a need to comparatively evaluate the effectiveness of these descriptor-sets by using the same method and parameter optimization algorithm, and to examine whether the combined use of these descriptorsets help to improve predictive performance. Six individual descriptor-sets and four combinationsets were evaluated in support vector machines (SVM) prediction of six protein functional families. Results: The performance of these descriptor-sets were ranked by Matthews correlation coefficient (MCC), and categorized into two groups based on their performance. While there is no overwhelmingly favourable choice of descriptor-sets, certain trends were found. The combinationsets tend to give slightly but consistently higher MCC values and thus overall best performance such that three out of four combination-sets show slight...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2007
Where BMCBI
Authors Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze-Rong Li, Zhi Wei Cao
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