Literature DB >> 14579338

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

Kevin Karplus1, Rachel Karchin, Jenny Draper, Jonathan Casper, Yael Mandel-Gutfreund, Mark Diekhans, Richard Hughey.   

Abstract

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. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 14579338     DOI: 10.1002/prot.10540

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


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