Literature DB >> 26641693

Structural Determinants of Transmembrane β-Barrels.

Themis Lazaridis1.   

Abstract

The recognition of β-barrel membrane proteins based on their sequence is more challenging than the recognition of α-helical membrane proteins. This goal could benefit from a better understanding of the physical determinants of transmembrane β-barrel structure. To that end, we first extend the IMM1 implicit membrane model in a way that allows the modeling of membrane proteins with an internal aqueous pore. The new model (IMM1-pore) gives stable molecular dynamics trajectories for three β-barrel membrane proteins of different sizes and negative water-to-membrane transfer energies of reasonable magnitude. It also discriminates the correct fold for a pair of 10-stranded and 12-stranded transmembrane β-barrels. We then consider a pair of β-barrel proteins:  OmpA, which is a membrane β-barrel with hydrophobic residues on the exterior and polar residues in the interior, and retinol binding protein, which is a water soluble protein with polar residues on the exterior and hydrophobic residues in the interior. By threading the sequence of one onto the structure of the other we make two pairs of structures for each sequence, one native and the other a decoy, and evaluate their energy. The energy function discriminates the correct structure. By decomposing the energy into residue contributions we examine which features of each sequence make it fold into one or the other structure. It is found that for the OmpA sequence the largest contribution to stability comes from interactions between polar residues in the interior of the barrel. The major factor that prevents the retinol binding protein sequence from adopting a transmembrane fold is the presence of polar/charged residues at the edges of the putative transmembrane β-strands as well as the less favorable interior polar residue interactions. These results could help design simplified scoring functions for fold recognition and structure prediction of transmembrane β-barrels.

Entities:  

Year:  2005        PMID: 26641693     DOI: 10.1021/ct050055x

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  16 in total

1.  A Practical Implicit Membrane Potential for NMR Structure Calculations of Membrane Proteins.

Authors:  Ye Tian; Charles D Schwieters; Stanley J Opella; Francesca M Marassi
Journal:  Biophys J       Date:  2015-08-04       Impact factor: 4.033

Review 2.  Computational studies of peptide-induced membrane pore formation.

Authors:  Richard Lipkin; Themis Lazaridis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-08-05       Impact factor: 6.237

Review 3.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

4.  Implicit Membrane Investigation of the Stability of Antimicrobial Peptide β-Barrels and Arcs.

Authors:  Richard B Lipkin; Themis Lazaridis
Journal:  J Membr Biol       Date:  2014-11-28       Impact factor: 1.843

5.  Membrane interactions and pore formation by the antimicrobial peptide protegrin.

Authors:  Themis Lazaridis; Yi He; Lidia Prieto
Journal:  Biophys J       Date:  2013-02-05       Impact factor: 4.033

6.  Protein arcs may form stable pores in lipid membranes.

Authors:  Lidia Prieto; Yi He; Themis Lazaridis
Journal:  Biophys J       Date:  2014-01-07       Impact factor: 4.033

7.  Protein Structure Prediction and Design in a Biologically Realistic Implicit Membrane.

Authors:  Rebecca F Alford; Patrick J Fleming; Karen G Fleming; Jeffrey J Gray
Journal:  Biophys J       Date:  2020-03-14       Impact factor: 4.033

8.  Backbone structure of Yersinia pestis Ail determined in micelles by NMR-restrained simulated annealing with implicit membrane solvation.

Authors:  Francesca M Marassi; Yi Ding; Charles D Schwieters; Ye Tian; Yong Yao
Journal:  J Biomol NMR       Date:  2015-07-05       Impact factor: 2.835

9.  Implicit membrane treatment of buried charged groups: application to peptide translocation across lipid bilayers.

Authors:  Themis Lazaridis; John M Leveritt; Leo PeBenito
Journal:  Biochim Biophys Acta       Date:  2014-02-10

10.  Inclusion of lateral pressure/curvature stress effects in implicit membrane models.

Authors:  Huan Zhan; Themis Lazaridis
Journal:  Biophys J       Date:  2013-02-05       Impact factor: 4.033

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