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.
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.
People |
ORCID iD |
| Syma Khalid (Principal Investigator / Fellow) |
Publications
Webby MN
(2022)
Lipids mediate supramolecular outer membrane protein assembly in bacteria.
in Science advances
Newman KE
(2023)
Conformational dynamics and putative substrate extrusion pathways of the N-glycosylated outer membrane factor CmeC from Campylobacter jejuni.
in PLoS computational biology
Khalid S
(2023)
Computational microbiology of bacteria: Advancements in molecular dynamics simulations.
in Structure (London, England : 1993)
Waller C
(2023)
Impact on S. aureus and E. coli Membranes of Treatment with Chlorhexidine and Alcohol Solutions: Insights from Molecular Simulations and Nuclear Magnetic Resonance
in Journal of Molecular Biology
Tang H
(2023)
The solute carrier SPNS2 recruits PI(4,5)P2 to synergistically regulate transport of sphingosine-1-phosphate.
in Molecular cell
Silale A
(2023)
Dual function of OmpM as outer membrane tether and nutrient uptake channel in diderm Firmicutes.
in Nature communications
Grinter R
(2023)
Structural basis for bacterial energy extraction from atmospheric hydrogen.
in Nature
Brandner A
(2024)
Faster but Not Sweeter: A Model of Escherichia coli Re-level Lipopolysaccharide for Martini 3 and a Martini 2 Version with Accelerated Kinetics
in Journal of Chemical Theory and Computation
Benn G
(2024)
OmpA controls order in the outer membrane and shares the mechanical load
in Proceedings of the National Academy of Sciences
Clark R
(2024)
Titratable residues that drive RND efflux: Insights from molecular simulations.
in QRB discovery
Weerakoon D
(2024)
Polymyxin B1 in the Escherichia coli inner membrane: A complex story of protein and lipopolysaccharide-mediated insertion.
in The Journal of biological chemistry
Smith IPS
(2024)
Molecular Crowding Alters the Interactions of Polymyxin Lipopeptides within the Periplasm of E. coli: Insights from Molecular Dynamics.
in The journal of physical chemistry. B
Cooper BF
(2025)
Phospholipid Transport Across the Bacterial Periplasm Through the Envelope-spanning Bridge YhdP.
in Journal of molecular biology
Cho C
(2025)
Diacylation of Peptides Enables the Construction of Functional Vesicles for Drug-Carrying Liposomes
in Angewandte Chemie International Edition
Brandner AF
(2025)
Systematic Approach to Parametrization of Disaccharides for the Martini 3 Coarse-Grained Force Field.
in Journal of chemical information and modeling
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 |