Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector

Metal-binding proteins play important roles in structural stability, signaling, regulation, transport, immune response, metabolism control, and metal homeostasis. Because of their functional and sequence diversity, it is desirable to explore additional methods for predicting metal-binding proteins irrespective of sequence similarity. This work explores support vector machines (SVM) as such a method. SVM prediction systems were developed by using 53,333 metal-binding and 147,347 non-metal-binding proteins, and evaluated by an independent set of 31,448 metal-binding and

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: H. H. Lin, L. Y. Han, H. L. Zhang, C. J. Zheng, B. Xie, Zhi Wei Cao, Yu Zong Chen
• Keywords: BMCBI 2006, Important Roles, Proteins, SVM Prediction Systems