Evaluation of methods for the prediction of membrane spanning regions
S Möller, MDR Croning, R Apweiler - Bioinformatics, 2001 - academic.oup.com
S Möller, MDR Croning, R Apweiler
Bioinformatics, 2001•academic.oup.comMotivation: A variety of tools are available to predict the topology of transmembrane proteins.
To date no independent evaluation of the performance of these tools has been published. A
better understanding of the strengths and weaknesses of the different tools would guide both
the biologist and the bioinformatician to make better predictions of membrane protein
topology. Results: Here we present an evaluation of the performance of the currently best
known and most widely used methods for the prediction of transmembrane regions in …
To date no independent evaluation of the performance of these tools has been published. A
better understanding of the strengths and weaknesses of the different tools would guide both
the biologist and the bioinformatician to make better predictions of membrane protein
topology. Results: Here we present an evaluation of the performance of the currently best
known and most widely used methods for the prediction of transmembrane regions in …
Abstract
Motivation: A variety of tools are available to predict the topology of transmembrane proteins. To date no independent evaluation of the performance of these tools has been published. A better understanding of the strengths and weaknesses of the different tools would guide both the biologist and the bioinformatician to make better predictions of membrane protein topology.
Results: Here we present an evaluation of the performance of the currently best known and most widely used methods for the prediction of transmembrane regions in proteins. Our results show that TMHMM is currently the best performing transmembrane prediction program.
Contact: moeller@ebi.ac.uk; croning@ebi.ac.uk; apweiler@ebi.ac.uk
Oxford University Press