title: waveTM: wavelet-based transmembrane segment prediction.
abstract: waveTM is a web tool for the prediction of transmembrane segments in alpha-helical membrane proteins. Prediction is performed by a dynamic programming algorithm on wavelet-denoised 'hydropathy' signals. Users submit a protein sequence and receive interactively the results. Topology prediction can also be obtained in conjunction with the algorithm OrienTM. A web server that implements the waveTM algorithm is freely available at http://bioinformatics.biol.uoa.gr/waveTM.
authors.affiliation: Department of Cell Biology and Biophysics, Faculty of Biology, University of Athens, Panepistimiopolis, Athens 157 01, Greece.
authors.forename: Evanthia E
authors.initials: EE
authors.lastname: Pashou
authors.forename: Zoi I
authors.initials: ZI
authors.lastname: Litou
authors.forename: Theodore D
authors.initials: TD
authors.lastname: Liakopoulos
authors.forename: Stavros J
authors.initials: SJ
authors.lastname: Hamodrakas
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods; D003198:Computer Simulation; D030562:Databases, Protein; D008565:Membrane Proteins / Q000737:chemistry*; D008566:Membranes / Q000378:metabolism*; D011487:Protein Conformation; D017433:Protein Structure, Secondary; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D008565:Membrane Proteins