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A novel method for predicting transmembrane segments in proteins based on a statistical analysis of the SwissProt database: the PRED-TMR algorithm
Authors:Pasquier, C.   Promponas, V.J.   Palaios, G.A.   Hamodrakas, J.S.   Hamodrakas, S.J.
Affiliation:Faculty of Biology, Department of Cell Biology and Biophysics,University of Athens, Panepistimiopolis, Athens 15701, Greece
Abstract:We present a novel method that predicts transmembrane domainsin proteins using solely information contained in the sequenceitself. The PRED-TMR algorithm described, refines a standardhydrophobicity analysis with a detection of potential termini(`edges', starts and ends) of transmembrane regions. This allowsone both to discard highly hydrophobic regions not delimitedby clear start and end configurations and to confirm putativetransmembrane segments not distinguishable by their hydrophobiccomposition. The accuracy obtained on a test set of 101 non-homologoustransmembrane proteins with reliable topologies compares wellwith that of other popular existing methods. Only a slight decreasein prediction accuracy was observed when the algorithm was appliedto all transmembrane proteins of the SwissProt database (release35). A WWW server running the PRED-TMR algorithm is availableat http://o2.db.uoa.gr/PRED-TMR/
Keywords:hydrophobicity analysis/  membrane proteins/  prediction/  protein structure/  transmembrane regions
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