Evaluation of methods for the prediction of membrane spanning regions.

by: S Möller, MD Croning, R Apweiler

Bioinformatics, Vol. 17, No. 7. (July 2001), pp. 646-653.

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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.

@article{citeulike:562745, 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.}, address = {EMBL-Outstation European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. moeller@ebi.ac.uk}, author = {M\"{o}ller, S. and Croning, M. D. and Apweiler, R. }, citeulike-article-id = {562745}, doi = {http://dx.doi.org/10.1093/bioinformatics/17.7.646}, issn = {1367-4803}, journal = {Bioinformatics}, keywords = {sequence}, month = {July}, number = {7}, pages = {646--653}, posted-at = {2008-03-03 08:13:44}, priority = {2}, title = {Evaluation of methods for the prediction of membrane spanning regions.}, url = {http://dx.doi.org/10.1093/bioinformatics/17.7.646}, volume = {17}, year = {2001} }

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TY - JOUR ID - citeulike:562745 L3 - citeulike-article-id:562745 TI - Evaluation of methods for the prediction of membrane spanning regions. JF - Bioinformatics VL - 17 IS - 7 SP - 646 EP - 653 AD - EMBL-Outstation European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. moeller@ebi.ac.uk SN - 1367-4803 N2 - 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. KW - sequence AU - Möller, S AU - Croning, MD AU - Apweiler, R PY - 2001/07// UR - http://dx.doi.org/10.1093/bioinformatics/17.7.646 ER -

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