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MOLSImage: Combining Simulations and Imaging to Deliver Next Generation Tools for Studying Bacterial Cell Envelopes.

Lead Research Organisation: University of Oxford
Department Name: Biochemistry

Abstract

Bacteria are much smaller and simpler organisms than us; they only have one cell. Yet we still do not understand how they function. In particular it is frustrating that we do not understand how they are able to protect themselves from antibiotics - and indeed this is one of the main impediments to the rational development of effective novel antibiotics. Gram-negative bacteria are surrounded by a cell envelope which protects the cell and acts as a filter for the movement of molecules into and out of the cell; waste molecules are allowed to exit, essential nutrients are allowed to enter, whereas harmful molecules are by and large kept out. Currently we do not understand how this is achieved at the level of individual molecules let alone atoms.

The MOLSimage programme aims to develop a detailed understanding of the cell envelope that protects bacteria- this is of interest from a fundamental biophysics perspective, but also for the future will be important for developing new antibiotics. We will employ computational methods in combination with new advances in imaging technology being pioneered in the UK, to study the cell envelope in as much detail as possible. Rather than use the current approach of studying individual proteins or small groups of proteins, we will study realistically crowded systems to capture all of the relevant details. The combination of computational and experimental will be such that as increasing computing power becomes available, increasingly larger portions of the cell envelope will become tractable. Our methods will take the snapshots in time produced by the imaging methods, interpret and augment them such that additional molecules (that are too small to be picked up the imaging) are added and then the snapshot is subjected to molecular dynamics for time evolution of the systems.

The protocols and methods we develop will firmly place the UK in a world-leading position in terms of studying bacterial cell envelopes.

Publications

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Benn G (2024) OmpA controls order in the outer membrane and shares the mechanical load in Proceedings of the National Academy of Sciences

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Brandner AF (2025) Systematic Approach to Parametrization of Disaccharides for the Martini 3 Coarse-Grained Force Field. in Journal of chemical information and modeling

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Kirschbaum C (2025) Following phospholipid transfer through the OmpF3-MlaA-MlaC lipid shuttle with native mass spectrometry. in Proceedings of the National Academy of Sciences of the United States of America

 
Description We have discovered that the outer membrane of E. coli is made up of protein-lipid-protein units. The proteins are densely packed into hexagonal arrays. This changes the textbook picture of these membranes - we have uncovered new rules about their organisation. In future this is likely to have an impact on the design of new antibiotics
Exploitation Route The development of new antibiotics will benefit from our findings
Sectors Pharmaceuticals and Medical Biotechnology

URL https://www.science.org/doi/10.1126/sciadv.adc9566
 
Title Code for parameterisation of coarse-grained models of disaccharides and a set of parameters for glucose and mannose based disaccharides 
Description Here, we present a parameter set for glucose- and mannose-based disaccharides for Martini 3. The generation of the CG parameters from atomistic trajectories is automated as fully as possible, and where not possible, we provide details of the protocol used for manual intervention. All code is provided for parameter generation. A set of parameters for disaccharides already parameterised is also provided 
Type Of Material Computer model/algorithm 
Year Produced 2025 
Provided To Others? Yes  
Impact This code will significantly reduce the time taken to generate coarse-grained models of disaccharides - it can be extended by the user to generate longer glycan models too. Furthermore it is all done in a systematic way and thus the models are compatible with the existing, popular, martini 3 models of other molecules. 
URL https://pubs.acs.org/doi/10.1021/acs.jcim.4c01874?goto=supporting-info
 
Title Raw data for "OmpA controls order in the outer membrane and shares the mechanical load" 
Description This repository contains raw data, repeats and analysis, including codes, used in the paper "OmpA controls order in the outer membrane and shares the mechanical load" at DOI 10.1073/pnas.2416426121. All content, with exceptions below, was generated by Georgina Benn, Princeton University. The content in the folder "Supplementary Figure 7" was generated by Dheeraj Prakaash, University of Oxford. The content in the folder "AFMrawDataWithAnalysis\AFMdata\jpkFiles\LPP" was generated by Carolina Borrelli and Vincent A Fideli, University College London. All content was generated for the paper mentioned above at DOI 10.1073/pnas.2416426121 and the details of how the data was generated are explained in the paper. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL https://datacommons.princeton.edu/discovery/doi/10.34770/ymvr-mg79
 
Description Collaboration with Siewert-Jan Marrink 
Organisation University of Groningen
Country Netherlands 
Sector Academic/University 
PI Contribution We have provided very specific expertise on modelling of certain bacterial glycolipids
Collaborator Contribution They have provided world-leading expertise (as they are the developers) of the Martini force-field and parameterisation strategies
Impact A manuscript is under review currently
Start Year 2023