Can I read Triage Protein Fold Prediction on EtoBox?

Triage Protein Fold Prediction by Hongxian He; Gregory McAllister; Temple F. Smith is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Triage Protein Fold Prediction about?

We have constructed, in a completely automated fashion, a new structure template library for threading that represents 358 distinct SCOP folds where each model is mathematically represented as a Hidden Markov model (HMM). Because the large number of models in the library can potentially dilute the prediction measure, a new triage method for fold prediction is employed. In the first step of the triage method, the most probable structural class is predicted using a set of manually constructed, high-level, generalized structural HMMs that represent seven general protein structural classes: all-alpha, all-beta, alpha/beta, alpha+beta, irregular small metal-binding, transmembrane beta-barrel, and transmembrane alpha-helical. In the second step, only those fold models belonging to the determined structural class are selected for the final fold prediction. This triage method gave more predictions as well as more correct predictions compared with a simple prediction method that lacks the initial classification step. Two different schemes of assigning Bayesian model priors are presented and discussed.

Who reads Triage Protein Fold Prediction?

Author

Hongxian He; Gregory McAllister; Temple F. Smith

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); Wiley-Liss Inc; Wiley (ISSN 0887-3585)

Published

2002

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)