Abstract
Lipid extracts are an excellent choice of model biomembrane; however at present, there are no commercially available lipid extracts or computational models that mimic microbial membranes containing the branched-chain fatty acids found in many pathogenic and industrially relevant bacteria. We advance the extract of Bacillus subtilis as a standard model for these diverse systems, providing a detailed experimental description and equilibrated atomistic bilayer model included as Supporting Information to this Letter and at (http://cmb.ornl.gov/members/cheng). The development and validation of this model represents an advance that enables more realistic simulations and experiments on bacterial membranes and reconstituted bacterial membrane proteins.
| Original language | English |
|---|---|
| Pages (from-to) | 4214-4217 |
| Number of pages | 4 |
| Journal | Journal of Physical Chemistry Letters |
| Volume | 8 |
| Issue number | 17 |
| DOIs | |
| State | Published - Sep 7 2017 |
Funding
The authors would like to acknowledge M. Cochran and C. Gao for technical assistance. This research was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL), managed by UT− Battelle, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC05-00OR22725, with support for J.K. provided by the DOE Office of Basic Energy Sciences, Scientific User Facilities Division. Small-angle neutron scattering was performed at ORNL using the EQ-SANS instrument at the Spallation Neutron Source, supported by the DOE Office of Basic Energy Sciences, Scientific User Facilities Division. This research was partially supported by an ASCR Leadership Computing Challenge (ALCC) award and used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. This research also used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.
| Funders | Funder number |
|---|---|
| DOE Office of Basic Energy Sciences | |
| DOE Office of Science | |
| U.S. Department of Energy | DE-AC05-00OR22725 |
| U.S. Department of Energy | |
| Office of Science | |
| Advanced Scientific Computing Research | |
| Oak Ridge National Laboratory |