The prediction of membrane protein structure and genome structural annotation | Zendy

Martelli Pier Luigi | Zendy; Fariselli Piero | Zendy; Tasco Gianluca | Zendy; Casadio Rita | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

The prediction of membrane protein structure and genome structural annotation

Author(s) -

Martelli Pier Luigi,

Fariselli Piero,

Tasco Gianluca,

Casadio Rita

Publication year - 2003

Publication title -

comparative and functional genomics

Language(s) - English

Resource type - Journals

eISSN - 1532-6268

pISSN - 1531-6912

DOI - 10.1002/cfg.308

Subject(s) - false positive paradox , hidden markov model , computer science , proteome , false positives and false negatives , suite , genome , signature (topology) , artificial intelligence , filter (signal processing) , membrane protein , computational biology , true positive rate , false positive rate , data mining , pattern recognition (psychology) , machine learning , bioinformatics , membrane , biology , gene , genetics , computer vision , mathematics , history , geometry , archaeology

New methods, essentially based on hidden Markov models (HMM) and neural networks (NN), can predict the topography of both β‐barrel and all‐α membrane proteins with high accuracy and a low rate of false positives and false negatives. These methods have been integrated in a suite of programs to filter proteomes of Gram‐negative bacteria, searching for new membrane proteins. Copyright © 2003 John Wiley & Sons, Ltd.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research