Protein Secondary Structure Prediction Based on Statistical Dictionaries
This study first gives the definitions and construction methods of statistical dictionary and similar list, and then proposes two novel algorithms, Hybrid Windows Prediction (HWP) and Similar Searching Prediction (SSP), for protein secondary structure prediction. Our methods not only implement the incremental learning to utilize the increasing protein structure data, but also achieve high prediction accuracies of overall Q3 and SOV by the blind test on the dataset composed of 2825 protein chains.
Protein structure prediction statistical method classification
Wei Yang Kuan-Quan Wang Wang-Meng Zuo
Biocomputing Research Center,School of Computer Science and Technology Harbin Institute of Technology,Harbin 150001,China
国际会议
北京
英文
1-4
2009-06-11(万方平台首次上网日期,不代表论文的发表时间)