Prediction of novel and analogous folds using fragment assembly and fold recognition

被引:62
作者
Jones, DT
Bryson, K
Coleman, A
McGuffin, LJ
Sadowski, MI
Sodhi, JS
Ward, JJ
机构
[1] UCL, Dept Comp Sci, Bioinformat Unit, London WC1E 6BT, England
[2] UCL, Dept Biochem & Mol Biol, London WC1E 6BT, England
[3] UCL, Dept Biochem & Mol Biol, London WC1E 6BT, England
关键词
protein structure prediction; CASP; protein sequence analysis; bioinformatics;
D O I
10.1002/prot.20731
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A number of new and newly improved methods for predicting protein structure developed by the Jones-University College London group were used to make predictions for the CASP6 experiment. Structures were predicted with a combination of fold recognition methods (mGenTHREADER, nFOLD, and THREADER) and a substantially enhanced version of FRAGFOLD, our fragment assembly method. Attempts at automatic domain parsing were made using DomPred and DomSSEA, which are based on a secondary structure parsing algorithm and additionally for DomPred, a simple local sequence alignment scoring function. Disorder prediction was carried out using a new SVM-based version of DISOPRED. Attempts were also made at domain docking and "microdomain" folding in order to build complete chain models for some targets.
引用
收藏
页码:143 / 151
页数:9
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