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. Author manuscript; available in PMC: 2022 Jan 1.
Published in final edited form as: Methods Mol Biol. 2021;2302:237–251. doi: 10.1007/978-1-0716-1394-8_13

Preparing membrane proteins for simulation using CHARMM-GUI

Yupeng Li 1,2, Jinchan Liu 1,2, James C Gumbart 2
PMCID: PMC8158057  NIHMSID: NIHMS1705051  PMID: 33877631

Abstract

Molecular dynamics simulations of membrane proteins have grown dramatically in the last 20 years. Running these simulations first requires embedding the protein’s three-dimensional structure in a lipid bilayer of a suitable composition, one that resembles its native environment. This step is far from trivial, especially for modeling heterogeneous mixtures of lipids. CHARMM-GUI, a webserver for simulation system preparation greatly simplifies this step, allowing for the construction of complex heterogeneous and/or asymmetric membranes. Here, we demonstrate how to use CHARMM-GUI to build the membrane for the outer-membrane protein BamA.

1. Introduction

Membrane proteins perform multiple functions and are vital to the survival of all organisms [1]. It is estimated that the genes coding for membrane proteins make up 20–30 % of the genomes of organisms [2]. They serve as channels [3,4], transporters [57], receptors [8], enzymes [9] and function in cell signaling [10,11], translocation of substrates [1214], energy transduction [15,16] and cell-cell recognition [1719]. Due to their vital significance, advanced technological methods such as NMR [20], cryogenic electron microscopy (cryo-EM) [21] and X-ray crystallography [22] have been developed to determine structures of membrane proteins. However, these experimental methods in most cases only provide a static state of proteins while molecular dynamics (MD) simulations are capable of probing their dynamic behavior [23]. Therefore, preparing a membrane-protein system at atomic resolution is a major concern of simulators.

Previous studies have emphasized the importance of building a native membrane: not only are the lipid-protein interactions responsible for regulating or stabilizing the conformation of membrane proteins [2427], but also the composition of the membrane will influence their structure and function [28,29]. Consequently, one should be especially careful to select the appropriate membrane for a given membrane protein.

To simplify and automate the building process for a native membrane-protein system for MD simulations, CHARMM-GUI (http://www.charmm-gui.org) [19,30] provides a graphical user interface (GUI) of multiple modules for the biomolecular simulation program CHARMM [31]. Membrane Builder [19] is one of the modules in CHARMM-GUI, which offers users a relatively easy way to build complicated membranes with all types of lipids through both user-specified and automated steps, including PDB loading, protein orientation, system size determination, generation for lipids, pore water, bulk water as well as ions, and assembly of components [19].

In this chapter, we will go through the process of preparing a membrane-protein system step by step in CHARMM-GUI using BamA as an example (Figure 1). BamA is the central component of the BAM complex [3235]. It is an outer membrane protein (OMP) of Gram-negative bacteria, which is responsible for the folding and insertion of other OMPs [36]. It contains a transmembrane β-barrel of 16 strands along with five periplasmic polypeptide-transport-associated (POTRA) domains (Figure 2). We use the structure from E. coli (PDB ID: 5AYW [33]), which includes all 5 POTRA domains.

Figure 1.

Figure 1

Membrane-protein-system building process in CHARMM-GUI.

Figure 2.

Figure 2

Structure of E. coli BamA.

2. Materials

2.1. Programs

  1. In order to access CHARMM-GUI, a web browser such as Chrome, Firefox, etc. is required.

2.2. Hardware

  1. A computer or laptop with any modern operating system (Windows, Linux, Mac OS).

3. Methods

3.1. Read Protein Coordinates and Manipulate Structure

The process of building a membrane-protein system via CHARMM-GUI starts with the loading of protein coordinates, followed by several alternative manipulation options, and finally generating a Protein Structure File (PSF) and PDB file containing the entire system. Users can upload a pre-oriented protein structure or specify a Protein Data Bank (PDB) ID to download PDB files directly from either the Research Collaboratory for Structural Bioinformatics (RCSB) database [37,38] or the Orientations of Proteins in Membranes (OPM) database [39].

3.1.1. Load PDB File

  1. Open CHARMM-GUI (http://www.charmm-gui.org) in a web browser. Select the menu item Input Generator → Membrane Builder on the leftmost part of the website.

  2. Drag the scroll bar to the middle. Two options will appear on the screen: Protein/Membrane System and Membrane Only System. Choose the former one.

  3. Enter 5ayw (PDB ID of one conformation of BamABCDE complex [33]) into the Download PDB File blank, meanwhile, selecting OPM as the Download Source (see Note 1). Then, click on the Next Step: Select/Model Chain button in the lower right corner.

  4. View Model/Chain Selection Option. This PDB file contains five proteins. Information such as type, segID, PDB ID, first and last residue ID of chains and engineered residues are listed here as well.

Users are able to view the constitutive segments already present in the PDB file, which mainly include protein chains, substrates, crystallographic water molecules, ions and crystallization detergents. They can also select whatever segments they want to use as well.

  • 5. Here, we will focus on BamA alone. Check on the box of PROA only. Then, click on the Next Step: Manipulate PDB button in the lower right corner.

Beyond deciding which segments to include in their system, users also have the ability to select a subset of residues of a chain, rename every segment and remove engineered residues. These operations will not be used in this chapter.

3.1.2. Manipulate PDB file

In order to generate a system suitable for simulation, additional manipulation is required. CHARMM-GUI provides users with diverse options for manipulation to meet multiple demands, including terminal group patching, modeling missing residues, mutation, protonation, disulfide bonds, add lipidation, etc. Here, we will focus on terminal group patching and disulfide bonds manipulation options only. Readers can explore other options on their own.

  1. Check the box labeled Terminal group patching. Select NTER for First and CTER for Last.

  2. Check the box labeled Disulfide bonds. Set Pair 1 Residue ID to 690 while set Pair 2 Residue ID to 700 (see Note 2).

  3. Click on the Next Step: Generate PDB and Orient Molecule button in the lower right corner. Users can view the loading structure (Figure 4) in the next step by clicking on the view structure button on the top of the website.

Figure 4.

Figure 4

Structure of E. coli BamA as seen in CHARMM-GUI.

You may notice another option called Symmetry Operation Options when you scroll down to the end of the page. This option is only supported when the PDB file contains the information about oligomerization, in which the protein oligomer is composed of two or more associating monomers with different or identical structure [40,41].

3.2. Orient the Protein

After PDB loading and manipulation, the protein needs to be oriented and positioned properly relative to the membrane bilayer. This step consists of two subsections, i.e., orient and position protein and generate pore water.

3.2.1. Orient and Position Protein

CHARMM-GUI’s Membrane Builder defines the Z axis as the membrane normal and Z = 0 Å as the center of membrane bilayer [19,42]. Therefore, to build a system with the proper protein orientation and position, it must be aligned with the Z axis and its hydrophobic region centered on Z = 0 Å. Since we use a pre-oriented protein from OPM, orientation and positioning are not necessary here.

  1. Locate Orientation Options. Four options are provided here. Each option is labeled with the situation it is intended for (see Note 3).

  2. Subsequently, select Use PDB Orientation. Users can see the orientation file (Figure 5) in the next step by clicking on the view structure button on the top of the website.

Figure 5.

Figure 5

Protein orientation. The yellow sheets are the XY-planes of membrane.(a) Top view. (b) Side view.

Usually, proper orientation information is not available for PDB files from the RCSB database, such that proteins most likely need to be reoriented and repositioned in this step. Users can select Use PDB Orientation if they use PDB files from the OPM database (see Note 4).

3.2.2. Generate Pore Water

In general, proteins with pores, such as ion channels, transporters and porins, can accommodate water molecules inside their internal cavity. CHARMM-GUI provides a general approach for pore water generation.

  1. Locate the Area Calculation Options.

  2. Click on the box of Generate Pore Water (see Note 5) and Measure Pore Size.

  3. Select Using protein geometry.

  4. Click on the Next Step: Calculate Cross-Sectional Area button in the lower right corner.

Note that the cross-sectional area of the protein will be calculated in this subsection to help determine the system size in the next step.

3.3. Determine the System Size

According to the cross-sectional area of the protein calculated in the previous step and lipid surface areas from experiments, the system size in the XY-plane and along the Z axis can be determined by multiple user-specified parameters in System Size Determination Options, including lipid types, system shape, water thickness along the Z axis on the top and bottom of the membrane, and numbers or ratios of lipid components.

Since we are building the membrane for BamA in E. coli, we will use an E. coli membrane. E. coli is a Gram-negative bacteria enveloped by two membranes, an inner membrane (IM) and outer membrane (OM). BamA resides in the OM. In Gram-negative bacteria, there is a special outer membrane component, lipopolysaccharide (LPS), that consists of a lipid A and a polysaccharide on the upper leaflet. The lower leaflet of the OM is a mixture of phospholipids. Here, we will use LPS for the upper leaflet while using PVCL2, PMPE, PMPG, PVPE and PVPG for the lower leaflet, with a ratio of 2:8:1:8:2 [43,44] (see Note 6).

  1. Locate System Size Determination Options.

  2. Select the Heterogeneous Lipid option.

Presently, the Homogeneous Lipid option is not supported, but users can select one type of lipid when using the Heterogeneous Lipid option to generate a homogeneous lipid bilayer.

  • 3. Select Rectangular as the Box Type.

  • 4. In the Length of Z based on option, select Water thickness. Change its initial parameter from 22.5 Å to 30 Å (see Note 7).

  • 5. In the Length of XY based on option, select Ratios of lipid components.

Membrane Builder gives users two options to determine the system size in the XY-plane: Ratio of lipid components, which corresponds to the Length of X and Y, and Numbers of lipid components, which corresponds to the XY dimension ratio.

  • 6. Go to Lipid Type column. In CL (cardiolipin) Lipids, set PVCL2’s Lowerleaflet Ratio as 2 and Upperleaflet Ratio as 0. In Bacterial Lipids, set the Lowerleaflet Ratio of PMPE, PMPG, PVPE and PVPG as 8, 1, 8 and 2, respectively, while keeping the Upperleaflet Ratio of all of them as 0.

  • 7. Locate LPS (lipopolysaccharides). Set the Upperleaflet Ratio as 1 and the Lowerleaflet Ratio as 0.

  • 8. Click on LPSA button. In the pop-up, set all the parameters to match those shown in Figure 8 Then click on the Next Step: Update LPS button in the lower right corner.

  • 9. Returning to the Length of XY based on option, enter 135 in the Length of X and Y box as an initial guess. Then click on the Show the system info button and you should see the information shown in Figure 9 (a).

Figure 8.

Figure 8

LPS type and core sequence.

Figure 9.

Figure 9

Feedback information for determining the membrane size. (a) Only using ratio to determine the membrane size may lead to one leaflet having too few lipids. (b) Adjusting the lipd numbers slightly will eliminate this problem.

This situation is caused by the difference in areas between the upper leaflet and the lower leaflet of the membrane. Generally, in order to solve it, we will use the Ratio of lipid components option first to determine the numbers of every membrane component under a certain initial guess. Then, use the Numbers of lipid components option to fine tune the number of lipids according to the feedback.

  • 10. Select the Numbers of lipid components option. Change the upperleaflet lipid number of LPS from 92 to 93. Click on Show the system info button and you will see the information in Figure 9 (b).

  • 11. Click on the Next Step: Determine the System Size button.

3.4. Build the Components

On the basis of the system size, the generation of individual components for the system, including the membrane, bulk water, and counter ions will be completed in this step.

  1. Locate the System Building Options. Then select Replacement method (see Note 8).

  2. Move on to Component Building Options. Check the Include Ions box.

  3. Use KCl as neutralizing species with a concentration of 0.15 M. Choose Mg2+ as the counter ions for both lipid A and core. Keep the Ion Placing Method as Distance (see Note 9).

  4. Go to Pore Water Options. Inappropriately placed water molecules can be removed here (see Note 10). Usually, there are no extra water molecules that need to be removed and this step can be skipped.

  5. Click on the Next Step: Build Components button in the lower right corner. The lipid bilayer will be generated first in this step.

  6. To generate water molecules and ions, click on the Next Step: Assemble Components button in the lower right corner.

3.5. Assemble the Components

Components generated in the previous steps will be assembled in this step.

  1. Check carefully to ensure the system is built as intended. If no problem exists, then click on the Next Step: Assemble Components button in the lower right corner to complete the assembly. Otherwise, go back to rebuild the system.

  2. Download all the output files by click on download.tgz.

At this point, the entire system containing protein, lipid bilayer, bulk water, and ions has been generated through users-specified parameters and options in CHARMM-GUI. Users can load the system into a molecular visualization program such as VMD for further inspection. If desired, simulation input files can also be generated by CHARMM-GUI.

4. Notes

  1. Users can also select RCSB or upload their own pre-oriented PDB file. Options for PDB Format need to be chosen when using your own PDB file. Note that PDB files obtained from the OPM database have already been pre-oriented with respect to the membrane normal (Z axis by definition) while those from RCSB database need to be oriented manually by users themselves using VMD or in the subsequent step through CHARMM-GUI.

  2. Generally, CHARMM-GUI detects structural information automatically, such as missing residues, disulfide bonds and others if indicated by remarks in PDB files (Figure 3). However, depending on the source of the PDB file, these remarks may have been written inadequately or even lost altogether. If that occurs, CHARMM-GUI cannot load those kinds of structure information, requiring users to add them manually in this step.

  3. In CHARMM-GUI, the protein can be placed appropriately in the membrane by reorienting it via the alignment of its principal axis or a vector between two residues with the Z axis in Orientation Options, and repositioning it by means of the rotation with respect to the X or Y axis, or translation along the Z axis in Positioning Options. Users can also just utilize the original orientation and position information contained in the PDB file.

  4. Users can use move and rotate commands in the software program VMD to write a pre-oriented PDB file and then upload it to CHARMM-GUI.

  5. During the pore water generation process, CHARMM-GUI solvates the transmembrane region of protein with a water box and runs high temperature dynamics with the protein fixed and water restrained in the transmembrane region. Water molecules inside the pore will remain while water molecules outside the pore will evaporate [19] (Figure 6). Water staying close to the protein exterior due to strong interactions, can be removed by a refinement step in 3.4.

  6. Ideally, the types and numbers of lipids are chosen to match the native membrane. Users should search the literature to determine which species the protein is from as well as the composition of its membrane in advance.

  7. The scale of the entire system along the Z axis is determined by the height of the protein in Z and the thickness of the added water slabs (Figure 7). In general, the default water thickness of 22.5 Å, is sufficient. For a membrane-only system, users can select the Hydration number (number of water molecules per one lipid molecule) option to define the total number of water molecules [19].

  8. Replacement method (Figure 10) distributes lipid-like pseudo atoms around the protein first, and then replaces them with lipid molecules selected randomly from a lipid molecule library, which contains 2,000 different conformations of lipids from MD simulations of pure bilayers [19]. Note that Insertion method is no longer supported in CHARMM-GUI.

  9. In order to neutralize the system, Membrane Builder creates an appropriate number of ions based on the user-specified ion concentration and type. The initial configuration of ions is then determined through Monte Carlo simulations using a simplified model, i.e., van der Waals and scaled Coulombic interactions [19].

  10. Pore water generated in 3.2.2 can be refined in this step, to ensure that no water molecules are left outside of the protein in the membrane hydrophobic core region. Users can download the structure file to verify whether those water molecules are removed and select the residue numbers of water molecules needing to be removed on the website.

Figure 3.

Figure 3

Part of the structural information in the original PDB file.

Figure 6.

Figure 6

Pore water generation. (a) Solvating the transmembrane region with water. (b) Pore water remains after high-temperature dynamics.

Figure 7.

Figure 7

Water thickness above and below the protein.

Figure 10.

Figure 10

The replacement method uses lipid-like pseudo-atoms to build lipids around the protein.

5. Acknowledgement

This work was supported by the National Institutes of Health (R01-GM123169). Computational resources were provided through the Extreme Science and Engineering Discovery Environment (XSEDE; TG-MCB130173), which is supported by NSF Grant ACI-1548562.

References

  • 1.Almen MS, Nordstrom KJ, Fredriksson R, Schioth HB (2009) Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin. BMC Biol 7:50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Krogh A, Larsson B, von Heijne G, Sonnhammer EL (2001) Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol 305 (3):567–580 [DOI] [PubMed] [Google Scholar]
  • 3.Hidalgo P, MacKinnon R (1995) Revealing the Architecture of a K’ Channel Pore Through Mutant Cycles with a Peptide Inhibitor. Science 268:307–310 [DOI] [PubMed] [Google Scholar]
  • 4.Agre P, King LS, Yasui M, Guggino WB, Ottersen OP, Fujiyoshi Y, Engel A, Nielsen S (2002) Aquaporin water channels--from atomic structure to clinical medicine. J Physiol 542 (Pt 1):3–16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Rahman KS, Cui G, Harvey SC, McCarty NA (2013) Modeling the conformational changes underlying channel opening in CFTR. PLoS One 8 (9):e74574 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Fairman JW, Noinaj N, Buchanan SK (2011) The structural biology of beta-barrel membrane proteins: a summary of recent reports. Curr Opin Struct Biol 21 (4):523–531 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Gadsby DC (2007) Ion pumps made crystal clear. Nature 450:957–959 [DOI] [PubMed] [Google Scholar]
  • 8.Shukla AK, Manglik A, Kruse AC, Xiao K, Reis RI, Tseng WC, Staus DP, Hilger D, Uysal S, Huang LY, Paduch M, Tripathi-Shukla P, Koide A, Koide S, Weis WI, Kossiakoff AA, Kobilka BK, Lefkowitz RJ (2013) Structure of active beta-arrestin-1 bound to a G-protein-coupled receptor phosphopeptide. Nature 497 (7447):137–141 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Cojocaru V, Balali-Mood K, Sansom MS, Wade RC (2011) Structure and dynamics of the membrane-bound cytochrome P450 2C9. PLoS Comput Biol 7 (8):e1002152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Jordan JD, Landau EM, Iyengar R (2000) Signaling networks: the origins of cellular multitasking. Cell 103:193–200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Hunter T (2000) Signaling–2000 and beyond. Cell 100:113–127 [DOI] [PubMed] [Google Scholar]
  • 12.Fu D, Libson A, Miercke LJ, Weitzman C, Nollert P, Krucinski J, Stroud RM (2000) Structure of a glycerol-conducting channel and the basis for its selectivity. Science 290 (5491):481–486 [DOI] [PubMed] [Google Scholar]
  • 13.Khademi S, O’Connell J 3rd, Remis J, Robles-Colmenares Y, Miercke LJ, Stroud RM (2004) Mechanism of ammonia transport by Amt/MEP/Rh: structure of AmtB at 1.35 A. Science 305 (5690):1587–1594 [DOI] [PubMed] [Google Scholar]
  • 14.Yellen G (2002) The voltage-gated potassium channels and their relatives. Nature 419:35–42 [DOI] [PubMed] [Google Scholar]
  • 15.Dong J, Yang G, McHaourab HS (2005) Structural basis of energy transduction in the transport cycle of MsbA. Science 308:1023–1028 [DOI] [PubMed] [Google Scholar]
  • 16.Elston T, Wang H, Oster G (1998) Energy transduction in ATP synthase. Nature 391:510–513 [DOI] [PubMed] [Google Scholar]
  • 17.Medley QG, Kedersha N, O’Brien S, Tian Q, Schlossman SF, Streuli M, Anderson P (1996) Characterization of GMP-17, a granule membrane protein that moves to the plasma membrane of natural killer cells following target cell recognition. Proc Natl Acad Sci 93:685–689 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Brooks JM, Lee SP, Leese AM, Thomas WA, Rowe M, Rickinson AB (2009) Cyclical expression of EBV latent membrane protein 1 in EBV-transformed B cells underpins heterogeneity of epitope presentation and CD8+ T cell recognition. J Immunol 182 (4):1919–1928 [DOI] [PubMed] [Google Scholar]
  • 19.Jo S, Kim T, Im W (2007) Automated builder and database of protein/membrane complexes for molecular dynamics simulations. PLoS One 2 (9):e880. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Hong M, Zhang Y, Hu F (2012) Membrane protein structure and dynamics from NMR spectroscopy. Annu Rev Phys Chem 63:1–24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Earl LA, Falconieri V, Milne JL, Subramaniam S (2017) Cryo-EM: beyond the microscope. Curr Opin Struct Biol 46:71–78 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Garavito RM, Picot D, Loll PJ (1996) Strategies for Crystallizing Membrane Proteins. J Bioenerg Biomembr 28:13–27 [PubMed] [Google Scholar]
  • 23.Gumbart J, Wang Y, Aksimentiev A, Tajkhorshid E, Schulten K (2005) Molecular dynamics simulations of proteins in lipid bilayers. Curr Opin Struct Biol 15 (4):423–431 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Lee AG (2011) Biological membranes: the importance of molecular detail. Trends Biochem Sci 36 (9):493–500 [DOI] [PubMed] [Google Scholar]
  • 25.Landreh M, Marklund EG, Uzdavinys P, Degiacomi MT, Coincon M, Gault J, Gupta K, Liko I, Benesch JL, Drew D, Robinson CV (2017) Integrating mass spectrometry with MD simulations reveals the role of lipids in Na(+)/H(+) antiporters. Nat Commun 8:13993. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Dawaliby R, Trubbia C, Delporte C, Masureel M, Antwerpen PV, Kobilka BK, Govaerts C (2016) Allosteric regulation of G protein–coupled receptor activity by phospholipids. Nat Chem Biol 12:35–39 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Dowhan W, Bogdanov M (2011) Lipid-protein interactions as determinants of membrane protein structure and function. Biochem Soc Trans 39 (3):767–774 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Vigh L, Escriba PV, Sonnleitner A, Sonnleitner M, Piotto S, Maresca B, Horvath I, Harwood JL (2005) The significance of lipid composition for membrane activity: new concepts and ways of assessing function. Prog Lipid Res 44 (5):303–344 [DOI] [PubMed] [Google Scholar]
  • 29.Saeedimasine M, Montanino A, Kleiven S, Villa A (2019) Role of lipid composition on the structural and mechanical features of axonal membranes: a molecular simulation study. Sci Rep 9 (1):8000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Jo S, Kim T, Iyer VG, Im W (2008) CHARMM-GUI: a web-based graphical user interface for CHARMM. J Comput Chem 29 (11):1859–1865 [DOI] [PubMed] [Google Scholar]
  • 31.Bernard R. Brooks REB, Olafson Barry D., States David J., Swaminathan S. and Martin Karplus (1983) CHARMM: A Program for Macromolecular Energy, Minimization, and Dynamics Calculations. Journal of Computational Chemistry 4 (2):187–217 [Google Scholar]
  • 32.Gu Y, Li H, Dong H, Zeng Y, Zhang Z, Paterson NG, Stansfeld PJ, Wang Z, Zhang Y, Wang W, Dong C (2016) Structural basis of outer membrane protein insertion by the BAM complex. Nature 531 (7592):64–69 [DOI] [PubMed] [Google Scholar]
  • 33.Han L, Zheng J, Wang Y, Yang X, Liu Y, Sun C, Cao B, Zhou H, Ni D, Lou J, Zhao Y, Huang Y (2016) Structure of the BAM complex and its implications for biogenesis of outer-membrane proteins. Nat Struct Mol Biol 23 (3):192–196 [DOI] [PubMed] [Google Scholar]
  • 34.Iadanza MG, Higgins AJ, Schiffrin B, Calabrese AN, Brockwell DJ, Ashcroft AE, Radford SE, Ranson NA (2016) Lateral opening in the intact beta-barrel assembly machinery captured by cryo-EM. Nat Commun 7:12865. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bakelar J, Buchanan SK, Noinaj N (2016) The structure of the β-barrel assembly machinery complex. Science 351 (6269):180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Noinaj N, Kuszak AJ, Gumbart JC, Lukacik P, Chang H, Easley NC, Lithgow T, Buchanan SK (2013) Structural insight into the biogenesis of beta-barrel membrane proteins. Nature 501 (7467):385–390 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, Bourne PE (2000) The Protein Data Bank. Nucleic Acids Res 28:235–242 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Rose PW, Prlic A, Bi C, Bluhm WF, Christie CH, Dutta S, Green RK, Goodsell DS, Westbrook JD, Woo J, Young J, Zardecki C, Berman HM, Bourne PE, Burley SK (2015) The RCSB Protein Data Bank: views of structural biology for basic and applied research and education. Nucleic Acids Res 43 (Database issue):D345–356 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Lomize MA, Lomize AL, Pogozheva ID, Mosberg HI (2006) OPM: orientations of proteins in membranes database. Bioinformatics 22 (5):623–625 [DOI] [PubMed] [Google Scholar]
  • 40.Ali MH, Imperiali B (2005) Protein oligomerization: how and why. Bioorg Med Chem 13 (17):5013–5020 [DOI] [PubMed] [Google Scholar]
  • 41.Protein Complex Oligomerization. https://www.ebi.ac.uk/QuickGO/term/GO:0051259 Accessed 14 Oct 2004
  • 42.Jo S, Lim JB, Klauda JB, Im W (2009) CHARMM-GUI Membrane Builder for mixed bilayers and its application to yeast membranes. Biophys J 97 (1):50–58 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Pandit KR, Klauda JB (2012) Membrane models of E. coli containing cyclic moieties in the aliphatic lipid chain. Biochim Biophys Acta 1818 (5):1205–1210 [DOI] [PubMed] [Google Scholar]
  • 44.Lind TK, Wacklin H, Schiller J, Moulin M, Haertlein M, Pomorski TG, Cardenas M (2015) Formation and Characterization of Supported Lipid Bilayers Composed of Hydrogenated and Deuterated Escherichia coli Lipids. PLoS One 10 (12):e0144671 [DOI] [PMC free article] [PubMed] [Google Scholar]

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