Wavelet change-point prediction of transmembrane proteins

Wavelet change-point prediction of transmembrane proteins

MOTIVATION A non-parametric method, based on a wavelet data-dependent threshold technique for change-point analysis, is applied to predict location and topology of helices in transmembrane proteins. A new propensity scale generated from a transmembrane helix database is proposed. RESULTS We show that wavelet change-point performs well for smoothing hydropathy and transmembrane profiles genera...

Topology Prediction of α-Helical Transmembrane Proteins –

Membrane proteins fulfil a number of tasks in cells, including signalling, cell-cell interaction, and the transportation of molecules. The prominence of these tasks makes membrane proteins an important target for clinical drugs. Because of the decreasing price of sequencing, the number of sequences known is increasing at such a rate that manual annotations cannot compete. Here, topology predict...

On the Prediction of Transmembrane Helical Segments in Membrane Proteins Based on Wavelet Transform

The prediction of transmembrane helical segments (TMHs) in membrane proteins is an important field in the bioinformatics research. In this paper, a new method based on discrete wavelet transform (DWT) has been developed to predict the number and location of TMHs in membrane proteins. PDB coded as 1KQG was chosen as an example to describe the prediction of the number and location of TMHs in memb...

Wavpred: a Wavelet-based Algorithm for the Prediction of Transmembrane Proteins

Structure Prediction of Proteins with Transmembrane Helices

Many sophisticated methods have been applied to the prediction of structure and function of protein sequences which are derived from the genome projects. However, difficulties of prediction for some protein types, e.g., membrane proteins, are not still resolved due to the lack of their 3D structure information. Although membrane proteins are minor fraction of the genome, the biological function...