Protein Secondary Structure Prediction Using Dynamic Programming

作     者：Jing ZHAO Pei-Ming SONG Qing FANG Jian-Hua LUO School of Life Science & Technology,Shanghai Jiaotong University,Shanghai 200240,China Shanghai Center for Bioinformation and Technology,Shanghai 200235,China Logistical Engineering University,Chongqing 400016,China 

作者机构：School of Life Science & Technology Shanghai Jiaotong University Shanghai 200240 China 

出 版 物：《Acta Biochimica et Biophysica Sinica》 (生物化学与生物物理学报(英文版))

年 卷 期：2005年第37卷第3期

页      面：167-172页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 

基　　金：thegrantsfromtheNationalHighTechnologyResearchandDevelopmentProgramofChina(No.2002AA234021) theNationalBasicResearchProgramofChina(No.2002CB512800) theScienceandTechnologyCommitteeofShanghai(No.K02D105501)andtheCorporation 

主　　题：directed graph dynamic programming approach protein secondary structure 

摘      要：In the present paper,we describe how a directed graph was constructed and then searched forthe optimum path using a dynamic programming approach,based on the secondary structure propensity ofthe protein short sequence derived from a training data *** protein secondary structure was thus pre-dicted in this *** average three-state accuracy of the algorithm used was 76.70%.