APL@Voro is a new program developed to aid in the analysis of GROMACS trajectories of lipid bilayer simulations. It can read a GROMACS trajectory file, a PDB coordinate file, and a GROMACS index file to create a two-dimensional geometric representation of a bilayer. Voronoi diagrams and Delaunay triangulations--generated for different selection models of lipids--support the analysis of the bilayer. The values calculated on the geometric structures can be visualized in a user-friendly interactive environment and, then, plotted and exported to different file types. APL@Voro supports complex bilayers with a mix of various lipids and proteins. For the calculation of the projected area per lipid, a modification of the well-known Voronoi approach is presented as well as the presentation of a new approach for including atoms into an existing triangulation. The application of the developed software is discussed for three example systems simulated with GROMACS. The program is written in C++, is open source, and is available free of charge.

Multidrug‐resistant Acinetobacter baumannii is a top‐priority pathogen globally and polymyxins are a last‐line therapy. Polymyxin dependence in A. baumannii (i.e., nonculturable on agar without polymyxins) is a unique and highly‐resistant phenotype with a significant potential to cause treatment failure in patients. The present study discovers that a polymyxin‐dependent A. baumannii strain possesses mutations in both lpxC (lipopolysaccharide biosynthesis) and katG (reactive oxygen species scavenging) genes. Correlative multiomics analyses show a significantly remodeled cell envelope and remarkably abundant phosphatidylglycerol in the outer membrane (OM). Molecular dynamics simulations and quantitative membrane lipidomics reveal that polymyxin‐dependent growth emerges only when the lipopolysaccharide‐deficient OM distinctively remodels with ≥ 35% phosphatidylglycerol, and with “patch” binding on the OM by the rigid polymyxin molecules containing strong intramolecular hydrogen bonding. Rather than damaging the OM, polymyxins bind to the phosphatidylglycerol‐rich OM and strengthen the membrane integrity, thereby protecting bacteria from external reactive oxygen species. Dependent growth is observed exclusively with polymyxin analogues, indicating a critical role of the specific amino acid sequence of polymyxins in forming unique structures for patch‐binding to bacterial OM. Polymyxin dependence is a novel antibiotic resistance mechanism and the current findings highlight the risk of ‘invisible’ polymyxin‐dependent isolates in the evolution of resistance.

The use of model membranes is currently part of the daily workflow for many biochemical and biophysical disciplines. These membranes are used to analyze the behavior of small substances, to simulate transport processes, to study the structure of macromolecules or for illustrative purposes. But, how can these membrane structures be generated?This mini review discusses a number of ways to obtain these structures. First, the problem will be formulated as the Membrane Packing Problem. It will be shown that the theoretical problem of placing proteins and lipids onto a membrane area differ significantly. Thus, two sub-problems will be defined and discussed. Then, different – partly historical – membrane modeling methods will be introduced. And finally, membrane modeling tools will be evaluated which are able to semi-automatically generate these model membranes and thus, drastically accelerate and simplify the membrane generation process. The mini review concludes with advice about which tool is appropriate for which application case.

New perspectives have been developed to understand the processes of modeling heterogeneous membranes. These are crucial steps prior to applying advanced techniques like molecular dynamic simulations of whole membrane systems. Lipid, protein, and membrane packing problems are addressed based on biochemical properties in combination with computational optimization techniques. The CELLmicrocosmos 2.2 MembraneEditor (CmME) is introduced as an appropriate framework to handle such problems by offering diverse algorithmic approaches. Its algorithm plug-in-interface enables modelers to generate problem-specific algorithms. Good solutions concerning runtime and lipid density are realized by focusing on the outer shapes of the PDB-based molecules. Application cases are presented like the publication-based modeling of inner and outer mitochondrial membrane-fragments, semiautomatic incorporation of proteins, and the assembly of rafts. Concerning geometrical aspects of the lipids, the achieved results are consistent with experimental observations related to lipid densities and distributions. Finally, two membranes simulated with GROMACS are analyzed and compared: the first is generated with conventional scripting techniques, the second with the CmME Distributor algorithm. The examples prove that CmME is a valuable and versatile tool for a broad set of applications in analysis and visualization of biomembranes.

MSI contributes to the clinical prediction of postoperative outcome in FLE patients. MSI may non-invasively disclose early epileptogenic lesions, pointing to a resectable lesion, and it then facilitates shortcut route of presurgical evaluation.

Overall, iPAO1 represents the most comprehensive GSMM constructed to date for Pseudomonas. It provides a powerful systems pharmacology platform for the elucidation of complex killing mechanisms of antibiotics.

Cell visualization is an important area of scientific and educational visualization. There is already a number of astonishing animations illustrating the structural and functional properties of biological cells available in the Internet. However, these visualizations usually do not take advantage of three-dimensional (3-D) stereoscopic techniques. The stereoscopic visualization of the microcosmos cell-invisible to the human eye-bears high potential for educational as well as scientific approaches. Using open source tools it will be shown that it is possible to generate statically rendered as well as interactive stereoscopic cell visualizations. First, the 3-D modeling software Blender in conjunction with Schneider's stereoscopic camera plug-in will be used to generate a stereoscopic cell animation. While static renderings have an advantage in that the stereoscopic effect can be optimized for spectators, interactive stereoscopic visualizations always have to adjust and optimize the stereoscopic effect for users who can freely navigate through space. Cell visualization is paradigmatic for this problem because the scale differences from the mesoscopic to the molecular level account for a factor of 100,000. Therefore, two stereoscopic approaches of the CELLmicrocosmos project will be introduced, which address the stereoscopic scaling problem. The stereoscopic quality was positively evaluated by 20 students. Downloaded From: http://electronicimaging.spiedigitallibrary.org/ on 05/15/2015 Terms of Use: http://spiedl.org/terms

Refined surgery using neuronavigation combined with iopMR imaging in LTLE surgery led to radical resection in 96.6% of the patients, due to immediate correction of underestimated resection in 21.6% of patients. This protocol resulted in a favourable seizure outcome and a low complication rate.