Literature DB >> 16860824

Structural classification and prediction of reentrant regions in alpha-helical transmembrane proteins: application to complete genomes.

Håkan Viklund1, Erik Granseth, Arne Elofsson.   

Abstract

Alongside the well-studied membrane spanning helices, alpha-helical transmembrane (TM) proteins contain several functionally and structurally important types of substructures. Here, existing 3D structures of transmembrane proteins have been used to define and study the concept of reentrant regions, i.e. membrane penetrating regions that enter and exit the membrane on the same side. We find that these regions can be divided into three distinct categories based on secondary structure motifs, namely long regions with a helix-coil-helix motif, regions of medium length with the structure helix-coil or coil-helix and regions of short to medium length consisting entirely of irregular secondary structure. The residues situated in reentrant regions are significantly smaller on average compared to other regions and reentrant regions can be detected in the inter-transmembrane loops with an accuracy of approximately 70% based on their amino acid composition. Using TOP-MOD, a novel method for predicting reentrant regions, we have scanned the genomes of Escherichia coli, Saccharomyces cerevisiae and Homo sapiens. The results suggest that more than 10% of transmembrane proteins contain reentrant regions and that the occurrence of reentrant regions increases linearly with the number of transmembrane regions. Reentrant regions seem to be most commonly found in channel proteins and least commonly in signal receptors.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16860824     DOI: 10.1016/j.jmb.2006.06.037

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  30 in total

1.  An analysis of reentrant loops.

Authors:  Changhui Yan; Jingru Luo
Journal:  Protein J       Date:  2010-07       Impact factor: 2.371

2.  Internal duplications in α-helical membrane protein topologies are common but the nonduplicated forms are rare.

Authors:  Aron Hennerdal; Jenny Falk; Erik Lindahl; Arne Elofsson
Journal:  Protein Sci       Date:  2010-12       Impact factor: 6.725

3.  A two-helix motif positions the lysophosphatidic acid acyltransferase active site for catalysis within the membrane bilayer.

Authors:  Rosanna M Robertson; Jiangwei Yao; Stefan Gajewski; Gyanendra Kumar; Erik W Martin; Charles O Rock; Stephen W White
Journal:  Nat Struct Mol Biol       Date:  2017-07-17       Impact factor: 15.369

4.  Estimating the length of transmembrane helices using Z-coordinate predictions.

Authors:  Costas Papaloukas; Erik Granseth; Håkan Viklund; Arne Elofsson
Journal:  Protein Sci       Date:  2007-12-20       Impact factor: 6.725

5.  Prediction of membrane-protein topology from first principles.

Authors:  Andreas Bernsel; Håkan Viklund; Jenny Falk; Erik Lindahl; Gunnar von Heijne; Arne Elofsson
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-13       Impact factor: 11.205

6.  Membrane topology of hedgehog acyltransferase.

Authors:  Armine Matevossian; Marilyn D Resh
Journal:  J Biol Chem       Date:  2014-12-08       Impact factor: 5.157

7.  Anoctamin and transmembrane channel-like proteins are evolutionarily related.

Authors:  Yoonsoo Hahn; Dong Seon Kim; Ira H Pastan; Byungkook Lee
Journal:  Int J Mol Med       Date:  2009-07       Impact factor: 4.101

8.  Topology of NGEP, a prostate-specific cell:cell junction protein widely expressed in many cancers of different grade level.

Authors:  Sudipto Das; Yoonsoo Hahn; Dawn A Walker; Satoshi Nagata; Mark C Willingham; Donna M Peehl; Tapan K Bera; Byungkook Lee; Ira Pastan
Journal:  Cancer Res       Date:  2008-08-01       Impact factor: 12.701

9.  Sequence-based feature prediction and annotation of proteins.

Authors:  Agnieszka S Juncker; Lars J Jensen; Andrea Pierleoni; Andreas Bernsel; Michael L Tress; Peer Bork; Gunnar von Heijne; Alfonso Valencia; Christos A Ouzounis; Rita Casadio; Søren Brunak
Journal:  Genome Biol       Date:  2009-02-02       Impact factor: 13.583

10.  Transmembrane protein topology prediction using support vector machines.

Authors:  Timothy Nugent; David T Jones
Journal:  BMC Bioinformatics       Date:  2009-05-26       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.