A Novel Method for Prediction of Protein Domain Using Distance-Based Maximal Entropy

• 作 者: Shu-xue Zou Yan-xin Huang Yan
• 机 构: KeyLaboratoryofSymbolComputationandKnowledgeEngineeringofMinistryofEducation
• 出 处: 吉林大学仿生工程学报：英文版
• 发表日期: 2008年3期
• 关键词: 蛋白质 SVM 最大熵 生物研究 protein domain boundary SVM imbalanced data learning distanc
• 基金项目: National Natural Science Foundation of China (Grant No. 60433020, 60673099, 60673023),,“985” project of Jilin University

Detecting the boundaries of protein domains is an important and challenging task in both experimental and computational structural biology. In this paper, a promising method for detecting the domain structure of a protein from sequence information alone i