title: [Performance analysis of methods that predict transmembrane regions].
abstract: The increasing protein sequences from the genome project require the oretical methods to predict transmembrane regions. Evaluation of these prediction methods will not only help biologists to select appropriate methods, but also provide bioinformatian guidance to develop new methods. In this work, the latest membrane protein topology database was used as the test set and selected soluble proteins was used as control. The analyses of performance of published online prediction methods are presented. Results show that HMMTOP (2.0) has the best performance among current methods.
authors.affiliation: Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200030, China. czqbme@263.net
authors.forename: Z Q
authors.initials: ZQ
authors.lastname: Chen
authors.forename: Q
authors.initials: Q
authors.lastname: Liu
authors.forename: Y S
authors.initials: YS
authors.lastname: Zhu
authors.forename: Y X
authors.initials: YX
authors.lastname: Li
mesh_terms: D016208:Databases, Factual; D008565:Membrane Proteins / Q000737:chemistry*; D017433:Protein Structure, Secondary; D012984:Software
chemical_list: D008565:Membrane Proteins