Skip to main content
Article thumbnail
Location of Repository

Summary

By Christopher Bystroff and Yu Shao

Abstract

Proteins fold through a series of intermediate states called a pathway. Protein folding pathways have been modeled using either simulations or a heirarchy of statistical models. Here we present a series of related statistical models that attempt to predict early, middle and late intermediates along the folding pathway. Isites motifs are discrete models for folding initiation sites. HMMSTR is a model for local structure patterns composed of I-sites motifs. HMMSTR-CM is an approach toward assembling motifs and groups of motifs in a contact map representation, using heuristic rules to predict contact maps either with or without the use of templates. We also discuss the I-sites/ROSETTA server, which is a folding simulation algorithm that uses a fragment library as input. The results of blind structure prediction experiments are discussed. Pathway-based predictions sometimes lead to an unambiguous prediction of the fold topology, even without using templates. 1. Introduction: Darwi

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.134.9805
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.bioinfo.rpi.edu/~by... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.