Literature DB >> 11518538

Helix-helix packing and interfacial pairwise interactions of residues in membrane proteins.

L Adamian1, J Liang.   

Abstract

Helix-helix packing plays a critical role in maintaining the tertiary structures of helical membrane proteins. By examining the overall distribution of voids and pockets in the transmembrane (TM) regions of helical membrane proteins, we found that bacteriorhodopsin and halorhodopsin are the most tightly packed, whereas mechanosensitive channel is the least tightly packed. Large residues F, W, and H have the highest propensity to be in a TM void or a pocket, whereas small residues such as S, G, A, and T are least likely to be found in a void or a pocket. The coordination number for non-bonded interactions for each of the residue types is found to correlate with the size of the residue. To assess specific interhelical interactions between residues, we have developed a new computational method to characterize nearest neighboring atoms that are in physical contact. Using an atom-based probabilistic model, we estimate the membrane helical interfacial pairwise (MHIP) propensity. We found that there are many residue pairs that have high propensity for interhelical interactions, but disulfide bonds are rarely found in the TM regions. The high propensity pairs include residue pairs between an aromatic residue and a basic residue (W-R, W-H, and Y-K). In addition, many residue pairs have high propensity to form interhelical polar-polar atomic contacts, for example, residue pairs between two ionizable residues, between one ionizable residue and one N or Q. Soluble proteins do not share this pattern of diverse polar-polar interhelical interaction. Exploratory analysis by clustering of the MHIP values suggests that residues similar in side-chain branchness, cyclic structures, and size tend to have correlated behavior in participating interhelical interactions. A chi-square test rejects the null hypothesis that membrane protein and soluble protein have the same distribution of interhelical pairwise propensity. This observation may help us to understand the folding mechanism of membrane proteins. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11518538     DOI: 10.1006/jmbi.2001.4908

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


  64 in total

1.  Comparison of helix interactions in membrane and soluble alpha-bundle proteins.

Authors:  Markus Eilers; Ashish B Patel; Wei Liu; Steven O Smith
Journal:  Biophys J       Date:  2002-05       Impact factor: 4.033

Review 2.  Attraction within the membrane. Forces behind transmembrane protein folding and supramolecular complex assembly.

Authors:  Volkhard Helms
Journal:  EMBO Rep       Date:  2002-12       Impact factor: 8.807

3.  Mutations of CB1 T210 produce active and inactive receptor forms: correlations with ligand affinity, receptor stability, and cellular localization.

Authors:  Aaron M D'Antona; Kwang H Ahn; Debra A Kendall
Journal:  Biochemistry       Date:  2006-05-02       Impact factor: 3.162

4.  Sequence determinants of the energetics of folding of a transmembrane four-helix-bundle protein.

Authors:  Kathleen P Howard; James D Lear; William F DeGrado
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-25       Impact factor: 11.205

5.  Interhelical angle and distance preferences in globular proteins.

Authors:  Sangyoon Lee; Gregory S Chirikjian
Journal:  Biophys J       Date:  2004-02       Impact factor: 4.033

Review 6.  How do helix-helix interactions help determine the folds of membrane proteins? Perspectives from the study of homo-oligomeric helical bundles.

Authors:  William F DeGrado; Holly Gratkowski; James D Lear
Journal:  Protein Sci       Date:  2003-04       Impact factor: 6.725

7.  Optimal bundling of transmembrane helices using sparse distance constraints.

Authors:  Ken Sale; Jean-Loup Faulon; Genetha A Gray; Joseph S Schoeniger; Malin M Young
Journal:  Protein Sci       Date:  2004-08-31       Impact factor: 6.725

8.  Helical packing patterns in membrane and soluble proteins.

Authors:  Marina Gimpelev; Lucy R Forrest; Diana Murray; Barry Honig
Journal:  Biophys J       Date:  2004-10-01       Impact factor: 4.033

9.  Replica exchange Monte-Carlo simulations of helix bundle membrane proteins: rotational parameters of helices.

Authors:  H-H Wu; C-C Chen; C-M Chen
Journal:  J Comput Aided Mol Des       Date:  2012-03-31       Impact factor: 3.686

10.  Driving forces for transmembrane alpha-helix oligomerization.

Authors:  Alex J Sodt; Teresa Head-Gordon
Journal:  Biophys J       Date:  2010-07-07       Impact factor: 4.033

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