MemPype: a pipeline for the annotation of eukaryotic membrane proteins

作者：Pierleoni Andrea^*; Indio Valentina; Savojardo Castrense; Fariselli Piero; Martelli Pier Luigi; Casadio Rita

来源：Nucleic Acids Research, 2011, 39: W375-W380.

DOI：10.1093/nar/gkr282

MemPype is a Python-based pipeline including previously published methods for the prediction of signal peptides (SPEP), glycophosphatidylinositol (GPI) anchors (PredGPI), all-alpha membrane topology (ENSEMBLE), and a recent method (MemLoci) that specifically discriminates the localization of eukaryotic membrane proteins in: 'cell membrane', 'internal membranes', 'organelle membranes'. MemLoci scores with accuracy of 70% and generalized correlation coefficient (GCC) of 0.50 on a rigorous homology-unbiased validation set and overpasses other predictors for subcellular localization. The annotation process is based both on inheritance through homology and computational methods. Each submitted protein first retrieves, when available, up to 25 similar proteins (with sequence identity epsilon 50% and alignment coverage epsilon 50% on both sequences). This helps the identification of membrane-associated proteins and detailed localization tags. Each protein is also filtered for the presence of a GPI anchor [0.8% false positive rate (FPR)]. A positive score of GPI anchor prediction labels the sequence as exposed to 'Cell surface'. Concomitantly the sequence is analysed for the presence of a signal peptide and classified with MemLoci into one of three discriminated classes. Finally the sequence is filtered for predicting its putative all-alpha protein membrane topology (FPR < 1%). The web server is available at: http://mu2py.biocomp.unibo.it/mempype.

• 出版日期2011-7