Hydrophobic pulses predict transmembrane helix irregularities and channel transmembrane units

BackgroundFew high-resolution structures of integral membranes proteins are available, as crystallization of such proteins needs yet to overcome too many technical limitations. Nevertheless, prediction of their transmembrane (TM) structure by bioinformatics tools provides interesting insights on the topology of these proteins.MethodsWe describe here how to extract new information from the analysis of hydrophobicity variations or hydrophobic pulses (HPulses) in the sequence of integral membrane proteins using the Hydrophobic Pulse Predictor, a new tool we developed for this purpose. To analyze the primary sequence of 70 integral membrane proteins we defined two levels of analysis: G1-HPulses for sliding windows of n = 2 to 6 and G2-HPulses for sliding windows of n = 12 to 16.ResultsThe G2-HPulse analysis of 541 transmembrane helices allowed the definition of the new concept of transmembrane unit (TMU) that groups together transmembrane helices and segments with potential adjacent structures. In addition, the G1-HPulse analysis identified helix irregularities that corresponded to kinks, partial helices or unannotated structural events. These irregularities could represent key dynamic elements that are alternatively activated depending on the channel status as illustrated by the crystal structures of the lactose permease in different conformations.ConclusionsOur results open a new way in the understanding of transmembrane secondary structures: hydrophobicity through hydrophobic pulses strongly impacts on such embedded structures and is not confined to define the transmembrane status of amino acids.

[1]  Gang Zhao,et al.  An amino acid “transmembrane tendency” scale that approaches the theoretical limit to accuracy for prediction of transmembrane helices: Relationship to biological hydrophobicity , 2006, Protein science : a publication of the Protein Society.

[2]  B. Chait,et al.  The structure of the potassium channel: molecular basis of K+ conduction and selectivity. , 1998, Science.

[3]  S. Iwata,et al.  Structural evidence for induced fit and a mechanism for sugar/H+ symport in LacY , 2006, The EMBO journal.

[4]  D. Eisenberg,et al.  The hydrophobic moment detects periodicity in protein hydrophobicity. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Adam Godzik,et al.  Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences , 2006, Bioinform..

[6]  István Simon,et al.  TOPDB: topology data bank of transmembrane proteins , 2007, Nucleic Acids Res..

[7]  Ichiro Yamato,et al.  Structure of the Rotor of the V-Type Na+-ATPase from Enterococcus hirae , 2005, Science.

[8]  Zheng Yuan,et al.  SVMtm: Support vector machines to predict transmembrane segments , 2004, J. Comput. Chem..

[9]  BMC Bioinformatics , 2005 .

[10]  E. Campbell,et al.  Atomic structure of a voltage-dependent K+ channel in a lipid membrane-like environment , 2007, Nature.

[11]  Zsuzsanna Dosztányi,et al.  Transmembrane proteins in the Protein Data Bank: identification and classification , 2004, Bioinform..

[12]  H Luecke,et al.  Structure of bacteriorhodopsin at 1.55 A resolution. , 1999, Journal of molecular biology.

[13]  S. Iwata,et al.  Structure and Mechanism of the Lactose Permease of Escherichia coli , 2003, Science.

[14]  Erik L. L. Sonnhammer,et al.  A Hidden Markov Model for Predicting Transmembrane Helices in Protein Sequences , 1998, ISMB.

[15]  S. White,et al.  Membrane protein folding and stability: physical principles. , 1999, Annual review of biophysics and biomolecular structure.

[16]  B. Rost PHD: predicting one-dimensional protein structure by profile-based neural networks. , 1996, Methods in enzymology.

[17]  Stephen H. White,et al.  Experimentally determined hydrophobicity scale for proteins at membrane interfaces , 1996, Nature Structural Biology.

[18]  Zsuzsanna Dosztányi,et al.  PDB_TM: selection and membrane localization of transmembrane proteins in the protein data bank , 2004, Nucleic Acids Res..

[19]  Nagarajan Vaidehi,et al.  Position of helical kinks in membrane protein crystal structures and the accuracy of computational prediction. , 2009, Journal of molecular graphics & modelling.

[20]  D. Engelman,et al.  Membrane protein folding and oligomerization: the two-stage model. , 1990, Biochemistry.

[21]  Dmitrij Frishman,et al.  STRIDE: a web server for secondary structure assignment from known atomic coordinates of proteins , 2004, Nucleic Acids Res..

[22]  T. Steitz,et al.  Identifying nonpolar transbilayer helices in amino acid sequences of membrane proteins. , 1986, Annual review of biophysics and biophysical chemistry.

[23]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[24]  R. Doolittle,et al.  A simple method for displaying the hydropathic character of a protein. , 1982, Journal of molecular biology.

[25]  S. Iwata,et al.  Structural determination of wild-type lactose permease , 2007, Proceedings of the National Academy of Sciences.

[26]  A. Krogh,et al.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. , 2001, Journal of molecular biology.

[27]  S H White,et al.  Folding of amphipathic alpha-helices on membranes: energetics of helix formation by melittin. , 1999, Journal of molecular biology.