Combining local-structure, fold-recognition, and new fold methods for protein structure prediction

被引:198
|
作者
Karplus, K [1 ]
Karchin, R [1 ]
Draper, J [1 ]
Casper, J [1 ]
Mandel-Gutfreund, Y [1 ]
Diekhans, M [1 ]
Hughey, R [1 ]
机构
[1] Univ Calif Santa Cruz, Dept Comp Engn, Santa Cruz, CA 95064 USA
关键词
SAM-T02; UNDERTAKER; fragment-packing program; hidden Markov model; secondary structure;
D O I
10.1002/prot.10540
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
This article presents an overview of the SAM-T02 method for protein fold recognition and the UNDERTAKER program for ab initio predictions. The SAM-T02 server is an automatic method that uses two-track hidden Markov models (HMMS) to find and align template proteins from PDB to the target protein. The two-track HMMs use an amino acid alphabet and one of several different local structure alphabets. The UNDERTAKER program is a new fragment-packing program that can use short or long fragments and alignments to create protein conformations. The HMMs and fold-recognition alignments from the SAM-T02 method were used to generate the fragment and alignment libraries used by UNDERTAKER. We present results on a few selected targets for which this combined method worked particularly well: T0129, T0181, T0135, T0130, and T0139. (C) 2003 Wiley-Liss, Inc.
引用
收藏
页码:491 / 496
页数:6
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