Protein Sequence Predicted by Using Parallel CRF Method on Backbone Angle
combining advance mazhematic model to predict protein structure is one of the most challenging problems in structural biology.Condition Random Fields(CRF)is shown a powerful algorithm by many examples of informatics and widely used in protein structure predicted,CRFsampler can automativally optimizes more than ten thousand paramenters quantifying the relationship amog pirmary sequemce and nackbone angle;In this paper,we construct a parallel CRFprotein sequenve predivted model;by using backbone structure,the Cb is set up(GLY ispseudo),dihedral torsion angles are calculated.Between dequence and backbone angles,the parmeters of feature is found by optimizing.The residue predicting accurate rate is 24.07％,the GLY predicting rate high to 64％ The rate is over 25％ in the case of SAS＞75％.The rate is also high when contact number small or lager.
component protern CRF sequence prediction parallel computation
Shaoping Chen Xing Wwang Shensheng Zheng Jun Zhang
Department of Mathematics Wuhan University of Techinology Wuhan,430070,china Wuhan shi,Jiang An Qu Er qi Lu 145 Hao Wuhan 430012,china
国际会议
电子商务、工程及科学领域的分布计算和应用国际会议(DCABES 2010)
香港
英文
211-213
2010-08-10（万方平台首次上网日期，不代表论文的发表时间）