Literature DB >> 11766048

Prediction of membrane protein orientation in lipid bilayers: a theoretical approach.

F Basyn1, B Charloteaux, A Thomas, R Brasseur.   

Abstract

Over the past few years, several three-dimensional (3-D) structures of membrane proteins have been described with increasing accuracy, but their relationship with membranes are still not well understood. Recently, we have developed an empirical method, Integral Membrane Protein and Lipid Association (IMPALA), to predict the insertion of molecules (lipids, drugs) into lipid bilayers (Proteins 30 (1998) 357). The IMPALA uses a Monte Carlo minimisation procedure to calculate the depth and the angle of insertion of membrane-interacting molecules taking into account the restraints dictated by a lipid bilayer. In this paper, we use IMPALA to test the insertion of 23 integral membranous proteins (IMPs) and 2 soluble proteins into membranes. Four IMP are studied in detail: OmpA, maltoporin, MsCl channel and bacteriorhodopsin. The 3-D structures of the proteins are kept constant and the insertion into membrane is monitored by minimising the value of the restraint representing the sum of two terms, one for lipid perturbation and the other for hydrophobicity. The two soluble proteins are rejected from the membrane whereas, under the same conditions, all the membrane proteins remain inside, if the solvent accessible surface of the amino acids located inside the pore of porins is ignored. The results give the tilt angle of the IMP helices or strands with respect to the membrane surface and the depth of the protein mass centre insertion. We conclude that the restraint terms of IMPALA could be used to study the insertion of model structures or complexes of proteins within membranes.

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Year:  2001        PMID: 11766048     DOI: 10.1016/s1093-3263(01)00114-0

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  7 in total

1.  Evaluating tilt angles of membrane-associated helices: comparison of computational and NMR techniques.

Authors:  Martin B Ulmschneider; Mark S P Sansom; Alfredo Di Nola
Journal:  Biophys J       Date:  2005-12-09       Impact factor: 4.033

Review 2.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

3.  Characterization of Lipid-Protein Interactions and Lipid-Mediated Modulation of Membrane Protein Function through Molecular Simulation.

Authors:  Melanie P Muller; Tao Jiang; Chang Sun; Muyun Lihan; Shashank Pant; Paween Mahinthichaichan; Anda Trifan; Emad Tajkhorshid
Journal:  Chem Rev       Date:  2019-04-12       Impact factor: 60.622

4.  Maximally asymmetric transbilayer distribution of anionic lipids alters the structure and interaction with lipids of an amyloidogenic protein dimer bound to the membrane surface.

Authors:  Sara Y Cheng; George Chou; Creighton Buie; Mark W Vaughn; Campbell Compton; Kwan H Cheng
Journal:  Chem Phys Lipids       Date:  2016-01-28       Impact factor: 3.329

Review 5.  Lipids or Proteins: Who Is Leading the Dance at Membrane Contact Sites?

Authors:  Jules D Petit; Françoise Immel; Laurence Lins; Emmanuelle M Bayer
Journal:  Front Plant Sci       Date:  2019-02-21       Impact factor: 5.753

6.  OmpT: molecular dynamics simulations of an outer membrane enzyme.

Authors:  Marc Baaden; Mark S P Sansom
Journal:  Biophys J       Date:  2004-08-17       Impact factor: 4.033

7.  OmpA: a pore or not a pore? Simulation and modeling studies.

Authors:  Peter J Bond; José D Faraldo-Gómez; Mark S P Sansom
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

  7 in total

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