Published November 8, 2022 | Version v1

Simulations of Sec61 with a substrate-selective inhibitor

  • 1. Institute of Biotechnology, University of Helsinki

Description

Simulation inputs and outputs for manuscript "Signal peptide mimicry primes Sec61 for client-selective inhibition" by Rehan et al. Nature Chemical Biology 19, pages 1054–1062 (2023). DOI: 10.1038/s41589-023-01326-1.

The Sec61 complex, embedded in a lipid bilayer mimicking ER in composition [1–4], was simulated in the presence ("Sec61_KZR8445", 5×1 µs) and absence ("Sec61_noinhibitor", 3×1 µs) of the cotransin KZR-8445 inhibitor. Additionally, a N300A mutant of Sec61α ("Sec61_KZR8445_N300A") was simulated in the presence of KZR-8445 for 1 µs. The replicas are labeled with "R". 

The GROMACS-compatible files include:

  • Run input files (.tpr)
  • Trajectory with coordinates written every 1 ns (.xtc)
  • Energy file (.edr)
  • Final coordinates after 1 µs of simulation (.gro)
  • Continue points for extending the simulation (.cpt)

Additionally, for each type of simulation (with KZR8445, without KZR8445, N300A mutation), common files are included:

  • Index file (.ndx)
  • Topology file (.top)

The run parameter file (md.mdp) is common for all systems. The topologies (.itp) referred to by the top files are compressed into the TOP.tar archive.

Additional details on the methodology used in the simulations is described below:

We used the CHARMM36m protein force field [5,6], the CHARMM36 lipid force field [7], the CGenFF force field for the inhibitor with the ligand containing a positive dummy particle describing the bromobenzyl sigma hole [8,9], and CHARMM-specific TIP(S)3P model for water [10,11]. The systems were generated in CHARMM-GUI [12,13], including the protein positioning using PPM 2.0 [14] and the ligand parametrization within CHARMM-GUI [15].

The leap-frog integrator was used with a time step of 2 fs. Buffered Verlet lists were used [16]. The Lennard-Jones forces were switched to zero between 1.0 and a cut-off distance of 1.2 nm. Long-range electrostatic interactions were included by the smooth particle mesh Ewald algorithm [17,18]. Temperatures of the protein (including the inhibitor), the lipids, and the solvent (water and ions) were separately coupled to a Nosé–Hoover thermostat [19,20] with a target temperature of 310 K and a relaxation time of 1 ps. The pressure was maintained at 1 bar with a semi-isotropic Parrinello–Rahman barostat [21]. The target pressure was set to 1 bar, the compressibility to 4.5 × 10–5 bar–1 and the relaxation time constant 5 ps. Bonds involving hydrogens were constrained with p-LINCS [22,23].

[1] Bollen, I. C. & Higgins, J. A. Phospholipid asymmetry in rough- and smooth-endoplasmic-reticulum membranes of untreated and phenobarbital-treated rat liver. Biochem. J 189, 475–480 (1980).
[2] Colbeau, A., Nachbaur, J. & Vignais, P. M. Enzymac characterization and lipid composition of rat liver subcellular membranes. Biochim. Biophys. Acta 249, 462–492 (1971).
[3] Davison, S. C. & Wills, E. D. Studies on the lipid composition of the rat liver endoplasmic reticulum after induction with phenobarbitone and 20-methylcholanthrene. Biochem. J 140, 461–468 (1974).
[4] Casares, D., Escribá, P. V. & Rosselló, C. A. Membrane Lipid Composition: Effect on Membrane and Organelle Structure, Function and Compartmentalization and Therapeutic Avenues. Int. J. Mol. Sci. 20, (2019).
[5] Huang, J. & MacKerell, A. D., Jr. CHARMM36 all-atom additive protein force field: validation based on comparison to NMR data. J. Comput. Chem. 34, 2135–2145 (2013).
[6] Huang, J. et al. CHARMM36m: an improved force field for folded and intrinsically disordered proteins. Nat. Methods 14, 71–73 (2017).
[7] Klauda, J. B. et al. Update of the CHARMM all-atom additive force field for lipids: validation on six lipid types. J. Phys. Chem. B 114, 7830–7843 (2010).
[8] Vanommeslaeghe, K. et al. CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields. J. Comput. Chem. 31, 671–690 (2010).
[9] Soteras Gutiérrez, I. et al. Parametrization of halogen bonds in the CHARMM general force field: Improved treatment of ligand-protein interactions. Bioorg. Med. Chem. 24, 4812–4825 (2016).
[10] Jorgensen, W. L., Chandrasekhar, J., Madura, J. D., Impey, R. W. & Klein, M. L. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 79, 926–935 (1983).
[11] Durell, S. R., Brooks, B. R. & Ben-Naim, A. Solvent-Induced Forces between Two Hydrophilic Groups. J. Phys. Chem. 98, 2198–2202 (1994).
[12] Jo, S., Kim, T., Iyer, V. G. & Im, W. CHARMM-GUI: a web-based graphical user interface for CHARMM. J. Comput. Chem. 29, 1859–1865 (2008).
[13] Wu, E. L. et al. CHARMM-GUI Membrane Builder toward realistic biological membrane simulations. J. Comput. Chem. 35, 1997–2004 (2014).
[14] Lomize, M. A., Pogozheva, I. D., Joo, H., Mosberg, H. I. & Lomize, A. L. OPM database and PPM web server: resources for positioning of proteins in membranes. Nucleic Acids Res. 40, D370–6 (2012).
[15] Kim, S. et al. CHARMM-GUI ligand reader and modeler for CHARMM force field generation of small molecules. J. Comput. Chem. 38, 1879–1886 (2017).
[16] Páll, S. & Hess, B. A flexible algorithm for calculating pair interactions on SIMD architectures. Comput. Phys. Commun. 184, 2641–2650 (2013).
[17] Darden, T., York, D. & Pedersen, L. Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems. J. Chem. Phys. 98, 10089–10092 (1993).
[18] Essmann, U. et al. A smooth particle mesh Ewald method. J. Chem. Phys. 103, 8577–8593 (1995).
[19] Nosé, S. A unified formulation of the constant temperature molecular dynamics methods. J. Chem. Phys. 81, 511–519 (1984).
[20] Hoover, W. G. Canonical dynamics: Equilibrium phase-space distributions. Phys. Rev. A Gen. Phys. 31, 1695–1697 (1985).
[21] Parrinello, M. & Rahman, A. Polymorphic transitions in single crystals: A new molecular dynamics method. J. Appl. Phys. 52, 7182–7190 (1981).
[22] Hess, B. P-LINCS: A Parallel Linear Constraint Solver for Molecular Simulation. J. Chem. Theory Comput. 4, 116–122 (2008).
[23] Hess, B., Bekker, H., Berendsen, H. J. C. & Fraaije, J. G. E. M. LINCS: A linear constraint solver for molecular simulations. J. Comput. Chem. 18, 1463–1472 (1997).

Files

Files (6.7 GB)

Name Size
md5:1e464cbdd4fa0e61a089e18dd6748a79
1.1 kB Download
md5:822e2703c13e635817e26c46ad05604a
2.9 MB Download
md5:2522f2f4939da280ef3e024dfc6939c1
651 Bytes Download
md5:e274a600efd1e7638e8ac36d7541da4d
4.6 MB Download
md5:bfa15a48e1fc4ddceebc512067787aef
6.6 MB Download
md5:ccf6ed81ea35b3a330b4a702c3422d00
13.2 MB Download
md5:8cd5180c41aa457e8486c64ba4479cdc
6.6 MB Download
md5:b1341ff1574dfef36030cce430b562c5
757 Bytes Download
md5:748fcd7f1ab5b0a5281bc8a131ee3e4b
7.0 MB Download
md5:241f95a5fd23445fc41063c1f2ea28a0
715.6 MB Download
md5:7ab675dae735e0ddc495e3b51a31493a
4.6 MB Download
md5:2b7504297afd6275b864a6c70a6095d9
6.6 MB Download
md5:d2504d3958f45079879a156dea06bf65
13.2 MB Download
md5:b5984c40b1207ad63902a841cc6adf06
7.0 MB Download
md5:ab244d3e218b8f6868c577bea2dbc30d
715.6 MB Download
md5:9058ce9df3bad4906a24f01d74fcf924
4.6 MB Download
md5:42018fa1a55ed373432c17f057a0dc2f
6.6 MB Download
md5:8f1b0423b12331201469eadebbf416d2
13.2 MB Download
md5:2d4c308e7f0800541d127ce47971d5d2
7.0 MB Download
md5:bf08556482a781cc3bee450f80859aa3
715.6 MB Download
md5:bdc2b253f4f41fcbcaabd92a8642bb9f
4.6 MB Download
md5:23e86d590d280e9a707c8c42a28fbd3e
6.6 MB Download
md5:8822a9b919d86a1379987374d54a7ebd
13.2 MB Download
md5:e481975eb7e6d15bf593b7d81b3a055c
7.0 MB Download
md5:7c1d17513734a89b761b1dd9235b17a2
715.6 MB Download
md5:fe1c75b192f5af4dd3bf1e9a0a4a6e77
4.6 MB Download
md5:cdd46e8df1d51d0ca3bd1871db7dcd6c
6.6 MB Download
md5:2d92e939c03d7f4e3f687b6b82ded1ae
13.2 MB Download
md5:b38205b7c327f7613f9f9564c50d708f
7.0 MB Download
md5:672f3a629b7722e5e98536797398c12a
715.6 MB Download
md5:b4647e98b5fb6c3cd685d674e75f2b48
4.6 MB Download
md5:cf20790856bb8509a1ce0ca188ddfc94
6.6 MB Download
md5:1564fa374e279c39f31add5755c8e121
13.2 MB Download
md5:c1d9e0bc09d9bae7c44e60cc97c99004
7.0 MB Download
md5:a7355fd023a5d73d7e69e24d263b78db
715.6 MB Download
md5:3b57b7d6150d95225852a56150e198b6
2.9 MB Download
md5:d502081d2e379d8838eab44c1d8ca746
606 Bytes Download
md5:7bd1d1307c7481a9b7b2a215b4e3a3bd
4.6 MB Download
md5:dac3bb6bb4b79724ce69d668316de3ab
6.6 MB Download
md5:949f1ba3de756356cd55c33cb1642d55
13.2 MB Download
md5:36ce4ac86da993db8d53fb882859e018
7.0 MB Download
md5:f8b8306d52d44e08e838e4c84fac0233
715.0 MB Download
md5:0ebf73b0b40aad1846bdc48bf8a6336a
4.6 MB Download
md5:040368b4653e818d5f95e60f1103965b
6.6 MB Download
md5:a96d43216302304e3c0385b34f821848
13.2 MB Download
md5:f207795f672547dd2742bb1558fe8458
7.0 MB Download
md5:7f499a8f60f92fc8f885b2cdc8075e36
715.0 MB Download
md5:068215086702f54c93644b01d7a97d59
4.6 MB Download
md5:3ca93765f3293ba99cfb6a226fa60f07
6.6 MB Download
md5:12ba8093bf7d0e801df05e75843d9517
13.2 MB Download
md5:6978ef8837429b2f1a110f50a805694b
7.0 MB Download
md5:c1fb29edff29f08aa69033fe6d958572
715.0 MB Download
md5:3805c5ceabfa76c829f637aa69077064
2.9 MB Download
md5:8fd03db942a3f1eea0fb5fe3691a6711
2.9 MB Download

Additional details

Funding

Research Council of Finland
A Molecular View on the Health Hazards of Ultrafine Particulate Matter 338160
Research Council of Finland
Chemical biology approach for dissecting ER proteostasis 338836
Research Council of Finland
Structures of Endogenous of Macromolecular Assemblies / Consortium: SEMMA 314672