The Lipoprotein Biogenesis Pathway: An Emerging Structural Target for Novel Antibiotics
Lead Research Organisation:
University of Warwick
Department Name: School of Life Sciences
Abstract
A special group of proteins called Lipoproteins are essential to bacterial growth, disease and their resistance to antibiotic drugs. Lipoproteins require multiple stages of processing to allow their insertion, maturation and transportation to their final destination; equivalent to a bacterial factory-line.
2016 has proved to be an exciting year for studying this family of proteins. For the first time we have observed, in high definition, the molecular details of the first two check-point enzymes in the lipoprotein processing pathway, Lgt and LspA. On top of this, we have recently perceived two crucial structures of processed lipoproteins in their native complexes: namely BamABCDE and LptDE.
These complexes are of especial importance as they are responsible for the assembly of the fundamental components of the bacterial outer membrane, which constitutes the outermost fortifications. Meanwhile, the recently approved vaccines, Bexsero and Trumenba, for protection against meningitis B also contain lipoprotein components, NHBA and fHBP, illustrating the importance of these molecular structures.
To better understand these molecular machines, we ideally require well-defined structural information of these proteins, engaged with their native environment. However, this association incredibly difficult to capture due to the complexity of the membrane environment. Furthermore, the structures that are solved represent single-snapshot, static images with limited information about their normal motions.
We will use a range of computational biochemistry methods to study this pathway, while retaining our close engagement with structural biologists in readiness for further molecular structures and experimental data.
Our studies will permit the animation of the structures by incorporating their typical dynamic movements. In doing so, we will reveal how a protein embraces its native membrane environment in unprecedented detail. We can therefore understand how the substrates, proteins and known antibiotics interact in mechanistic detail.
By better understanding the precise details of this molecular pathway, we can strategically design novel drug inhibitors and therefore pave the way towards developing innovative antibiotics that will avert the antibiotic apocalypse.
2016 has proved to be an exciting year for studying this family of proteins. For the first time we have observed, in high definition, the molecular details of the first two check-point enzymes in the lipoprotein processing pathway, Lgt and LspA. On top of this, we have recently perceived two crucial structures of processed lipoproteins in their native complexes: namely BamABCDE and LptDE.
These complexes are of especial importance as they are responsible for the assembly of the fundamental components of the bacterial outer membrane, which constitutes the outermost fortifications. Meanwhile, the recently approved vaccines, Bexsero and Trumenba, for protection against meningitis B also contain lipoprotein components, NHBA and fHBP, illustrating the importance of these molecular structures.
To better understand these molecular machines, we ideally require well-defined structural information of these proteins, engaged with their native environment. However, this association incredibly difficult to capture due to the complexity of the membrane environment. Furthermore, the structures that are solved represent single-snapshot, static images with limited information about their normal motions.
We will use a range of computational biochemistry methods to study this pathway, while retaining our close engagement with structural biologists in readiness for further molecular structures and experimental data.
Our studies will permit the animation of the structures by incorporating their typical dynamic movements. In doing so, we will reveal how a protein embraces its native membrane environment in unprecedented detail. We can therefore understand how the substrates, proteins and known antibiotics interact in mechanistic detail.
By better understanding the precise details of this molecular pathway, we can strategically design novel drug inhibitors and therefore pave the way towards developing innovative antibiotics that will avert the antibiotic apocalypse.
Technical Summary
Lipoproteins perform critical roles in bacterial physiology, pathogenicity, and antibiotic resistance. Their roles include modulation of the cell envelope structure, signal transduction and transport. Lipoproteins are processed by a pathway of membrane proteins - Sec, Lgt, LspA, Lnt and Lol - which insert, cleave and transport the protein substrate, while affixing lipid moieties to permit their tethering to the cell envelope. The recent determination of the three-dimensional protein structures of Lgt and LspA have enlivened lipoprotein research.
We will use a range of molecular simulation, bioinformatics and computational chemistry methods to study this pathway, while retaining our close engagement with structural biologists in readiness for further molecular structures and experimental data. Crucially our methods allow the incorporation of molecular dynamics, therefore the protein motions can be observed at the atomic level as the lipoprotein and processing machinery interact, while embracing their native membrane environment. Our studies also permit the accurate modelling of the lipid tethers at the N-terminal end of the protein and therefore reveal how these proteins are affixed to biological membranes. Furthermore, the bioinformatics methods permit the identification of both highly conserved residues, residue pairs and the modelling of unresolved components and mutants, while computational chemistry techniques permit the accurate docking of small molecules to the complexes and the prediction of reaction mechanisms for the intramembrane enzymes.
We expect that our data will greatly assist experimental scientists by permitting the design of knowledge-based assays and novel drug design strategies; revealing the suitability of this pathways as a target for novel antibiotics.
We will use a range of molecular simulation, bioinformatics and computational chemistry methods to study this pathway, while retaining our close engagement with structural biologists in readiness for further molecular structures and experimental data. Crucially our methods allow the incorporation of molecular dynamics, therefore the protein motions can be observed at the atomic level as the lipoprotein and processing machinery interact, while embracing their native membrane environment. Our studies also permit the accurate modelling of the lipid tethers at the N-terminal end of the protein and therefore reveal how these proteins are affixed to biological membranes. Furthermore, the bioinformatics methods permit the identification of both highly conserved residues, residue pairs and the modelling of unresolved components and mutants, while computational chemistry techniques permit the accurate docking of small molecules to the complexes and the prediction of reaction mechanisms for the intramembrane enzymes.
We expect that our data will greatly assist experimental scientists by permitting the design of knowledge-based assays and novel drug design strategies; revealing the suitability of this pathways as a target for novel antibiotics.
Planned Impact
Who will benefit from this research?
This work is directly related to the BBSRC strategic priority areas of Bioscience for Health ("Develop and apply new tools in areas such as chemical biology, high resolution structural analysis"), to World-class Bioscience ("predictive, integrative and systems approaches in bioscience at a range of scales from molecules to...") and to Exploiting New Ways of Working by developing "the next generation of bioscience tools to drive new and deeper understanding in bioscience". This proposal directly relates to Combatting antimicrobial resistance by studying digital pathways within pathogenic organisms, while there are also elements to this proposal that comprise the systems approaches to and technology development for the biosciences. There is also a synthetic biology element, as the proteins of interest can also be manipulated for industrial biotechnology use. Therefore, this promotes partnerships with both pharmaceutical and biotechnology industries, in addition to the development of academic collaborations.
Thus, the beneficiaries will include:
1. The pharmaceutical industry and their stakeholders
2. The biotechnology sector and their stakeholders
3. Schools and Museums
How will they benefit from this research?
1. By inhibiting the proteins involved in lipoprotein biogenesis, maturation and localisation, one can develop novel antibiotics to control multi-drug-resistant strains of bacteria. Lipoproteins are also surface expressed in many bacteria and therefore these proteins are suitable candidates for novel vaccine design. Given, the drug discovery process can take up to 20 years, it is imperative we prepare well in advance to counteract the threat of a society where resistant bacterial strains are common-place and untreatable. Therefore, if we are sufficiently well equipped, the impact of this proposal will be long lasting and life-changing for the future generations. Our studies are also fundamental to better designing drugs that permeate more readily across biological membranes, thereby increasing their bioavailability. Our proposal will also enable more effective targeting of drugs to sites on membrane proteins 'buried' within the bilayer or otherwise an enhanced understanding of regions that are exposed to solvent and therefore more readily accessible. Both of these aspects are likely to increase the number of compounds that succeed in being developed, and thus have a significant commercial and a socio-economic impact.
2. The bio-nanotechnology sector are interested in lipoproteins, e.g. CsgG, and other membrane proteins as potential synthetic biosensors. An example of such a company is Oxford Nanopore Technologies. Improved understanding of the nature of protein/lipid interactions is likely to facilitate design of more stable membrane proteins for use in nanodevices.
3. Increased public understanding is an important benefit to the wider public. Computational approaches to the biosciences has a major advantage in that it is able to produce artistic and descriptive illustrations of biomolecules, that facilitate the accessibility of these ubiquitous macromolecular machines to the general public. Furthermore, molecular simulation enables the reanimation of statically resolved structures into movies that demonstrate the dynamics visually. By tuning the science to an appropriate level of detail, by using graphics tools such as Blender, one can make the research available as museum displays and as educational tools in schools.
Thus, the overall impact will be to advance UK knowledge and technological development as well as promoting health and wellbeing through better drug design. Ultimately this will add significantly to the competitiveness of UK industry.
This work is directly related to the BBSRC strategic priority areas of Bioscience for Health ("Develop and apply new tools in areas such as chemical biology, high resolution structural analysis"), to World-class Bioscience ("predictive, integrative and systems approaches in bioscience at a range of scales from molecules to...") and to Exploiting New Ways of Working by developing "the next generation of bioscience tools to drive new and deeper understanding in bioscience". This proposal directly relates to Combatting antimicrobial resistance by studying digital pathways within pathogenic organisms, while there are also elements to this proposal that comprise the systems approaches to and technology development for the biosciences. There is also a synthetic biology element, as the proteins of interest can also be manipulated for industrial biotechnology use. Therefore, this promotes partnerships with both pharmaceutical and biotechnology industries, in addition to the development of academic collaborations.
Thus, the beneficiaries will include:
1. The pharmaceutical industry and their stakeholders
2. The biotechnology sector and their stakeholders
3. Schools and Museums
How will they benefit from this research?
1. By inhibiting the proteins involved in lipoprotein biogenesis, maturation and localisation, one can develop novel antibiotics to control multi-drug-resistant strains of bacteria. Lipoproteins are also surface expressed in many bacteria and therefore these proteins are suitable candidates for novel vaccine design. Given, the drug discovery process can take up to 20 years, it is imperative we prepare well in advance to counteract the threat of a society where resistant bacterial strains are common-place and untreatable. Therefore, if we are sufficiently well equipped, the impact of this proposal will be long lasting and life-changing for the future generations. Our studies are also fundamental to better designing drugs that permeate more readily across biological membranes, thereby increasing their bioavailability. Our proposal will also enable more effective targeting of drugs to sites on membrane proteins 'buried' within the bilayer or otherwise an enhanced understanding of regions that are exposed to solvent and therefore more readily accessible. Both of these aspects are likely to increase the number of compounds that succeed in being developed, and thus have a significant commercial and a socio-economic impact.
2. The bio-nanotechnology sector are interested in lipoproteins, e.g. CsgG, and other membrane proteins as potential synthetic biosensors. An example of such a company is Oxford Nanopore Technologies. Improved understanding of the nature of protein/lipid interactions is likely to facilitate design of more stable membrane proteins for use in nanodevices.
3. Increased public understanding is an important benefit to the wider public. Computational approaches to the biosciences has a major advantage in that it is able to produce artistic and descriptive illustrations of biomolecules, that facilitate the accessibility of these ubiquitous macromolecular machines to the general public. Furthermore, molecular simulation enables the reanimation of statically resolved structures into movies that demonstrate the dynamics visually. By tuning the science to an appropriate level of detail, by using graphics tools such as Blender, one can make the research available as museum displays and as educational tools in schools.
Thus, the overall impact will be to advance UK knowledge and technological development as well as promoting health and wellbeing through better drug design. Ultimately this will add significantly to the competitiveness of UK industry.
Organisations
- University of Warwick (Lead Research Organisation)
- UNIVERSITY OF OXFORD (Collaboration)
- University of Virginia (UVa) (Collaboration)
- Case Western Reserve University (Collaboration)
- Columbia University (Collaboration)
- Rosalind Franklin Institute (Collaboration)
- Utrecht University (Collaboration)
- Trinity College Dublin (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- University of Bristol (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
Publications
Abraham M
(2019)
Sharing Data from Molecular Simulations
in Journal of Chemical Information and Modeling
Abraham M
(2019)
Sharing Data from Molecular Simulations
Ansell TB
(2021)
Relative Affinities of Protein-Cholesterol Interactions from Equilibrium Molecular Dynamics Simulations.
in Journal of chemical theory and computation
Ansell TB
(2023)
LipIDens: simulation assisted interpretation of lipid densities in cryo-EM structures of membrane proteins.
in Nature communications
Baker A
(2021)
Correction to "The SARS-COV-2 Spike Protein Binds Sialic Acids, and Enables Rapid Detection in a Lateral Flow Point of Care Diagnostic Device".
in ACS central science
Baker AN
(2020)
The SARS-COV-2 Spike Protein Binds Sialic Acids and Enables Rapid Detection in a Lateral Flow Point of Care Diagnostic Device.
in ACS central science
Batista M
(2023)
Understanding the assembly mechanism of the twin arginine transport system
in Biophysical Journal
Brown C
(2023)
Supramolecular organisation and dynamics of mannosylated phosphatidylinositol lipids in the mycobacterial plasma membrane
in Biophysical Journal
Burt A
(2021)
Alternative Architecture of the E. coli Chemosensory Array.
in Biomolecules
Description | Development of methodologies to study bacterial lipoproteins. Key publications currently under consideration or in preparation for publication. Discovered how a fundamental process works within bacteria thereby facilitating methods to develop novel antimicrobials to combat infections. A number of key publications have arisen from this award including: 1. Characterising Membrane Association and Periplasmic Transfer of Bacterial Lipoproteins through Molecular Dynamics Simulations Shanlin Rao, George Bates, Callum Matthews, Owen Vickery, Phillip J. Stansfeld Structure 2. Structural basis of lipopolysaccharide mediated surface layer anchoring on Caulobacter crescentus cells Andriko von Kügelgen, Haiping Tang, Gail G. Hardy, Danguole Kureisaite-Ciziene, Yves V. Brun, Phillip J. Stansfeld, Carol V. Robinson, and Tanmay A.M. Bharat Cell pii: S0092-8674(19)31332-7. doi: 10.1016/j.cell.2019.12.006. 3. Insights into Membrane Protein-Lipid Interactions from Free Energy Calculations. Corey RA, Vickery ON, Sansom MSP, Stansfeld PJ. J Chem Theory Comput. 2019 Oct 8;15(10):5727-5736. doi: 10.1021/acs.jctc.9b00548. 4. Structural basis of the proton-coupled potassium transport in the KUP family Igor Tascón, Joana Sousa, Robin Corey, Deryck Mills, David Griwatz, Nadine Aumüller, Vedrana Mikusevic, Phillip J. Stansfeld, Janet Vonck, Inga Hanelt Nature Communications 5. A lipid gating mechanism for the channel-forming O antigen ABC transporter. Caffalette CA, Corey RA, Sansom MSP, Stansfeld PJ, Zimmer J. Nature Communications 2019 Feb 18;10(1):824. doi: 10.1038/s41467-019-08646-8. |
Exploitation Route | Further development of pathway inhibitors. An understanding of the key interactions made by Lipoproteins and their maturation enzymes. Development of new software and protocols for future research. Ideas being applied by Genentech to study inhibitors of LspA and Lgt. |
Sectors | Digital/Communication/Information Technologies (including Software) Healthcare Pharmaceuticals and Medical Biotechnology |
Description | Discussions of my findings at conferences and through invited lectures at PKU, Cambridge, New York, San Diego, Bristol, Warwick, Newcastle and Stockholm have enabled to dissemination of the data arising from our studies. Continued engagement with IBM, UCB, and OMass. In a year where the economy has been impacted significantly by an infectious disease, it is essential that we continue to find novel means to kill pathogenic bacteria. This proposal has delivered the foundations to understanding how a bacteria can be controlled by inhibiting the biogenesis and transport of lipoproteins. We have now made a direct collaboration with Genentech to take forward novel antimicrobial agents that inhibit the lipoprotein biogenesis pathway. |
First Year Of Impact | 2022 |
Sector | Digital/Communication/Information Technologies (including Software),Healthcare,Pharmaceuticals and Medical Biotechnology |
Impact Types | Societal Economic |
Description | Collaboration with Case Western |
Organisation | Case Western Reserve University |
Department | Department of Biochemistry |
Country | United States |
Sector | Academic/University |
PI Contribution | Molecular simulations of the copper transporter CusA revealing how Copper stabilises the efflux state. We also show how the periplasmic domains change conformation from resting to extrusion state and also how protons may use a water wire across the membrane to power transport via the Proton Motive Force. |
Collaborator Contribution | Ed Yu and his lab have provided novel structures of the CusA transporter in distinct states. |
Impact | mBio publication now accepted. |
Start Year | 2020 |
Description | Collaboration with Kings College |
Organisation | King's College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Preparation for a Collaborative award from the Wellcome trust |
Collaborator Contribution | Preparation for a Collaborative award from the Wellcome trust |
Impact | Preparation for a Collaborative award from the Wellcome trust |
Start Year | 2018 |
Description | Collaboration with Pedro Carvalho |
Organisation | University of Oxford |
Department | Sir William Dunn School of Pathology |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Simulations of a key lipid-interacting protein. |
Collaborator Contribution | Structures and Functional data. |
Impact | Paper in progress. |
Start Year | 2019 |
Description | Collaboration with Rosalind Franklin Institute |
Organisation | Rosalind Franklin Institute |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | Collaboration between Warwick and Jim Naismith and Jiwei Liu |
Collaborator Contribution | Molecular simulations of Wze, an capsid polysaccharide transporter |
Impact | None as yet. |
Start Year | 2022 |
Description | Collaboration with Tanmay Bharat |
Organisation | University of Oxford |
Department | Sir William Dunn School of Pathology |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Simulations of bacterial Surface Layer proteins. |
Collaborator Contribution | Structures and functional data for SLPs |
Impact | Structural basis of lipopolysaccharide mediated surface layer anchoring on Caulobacter crescentus cells Andriko von Kügelgen, Haiping Tang, Gail G. Hardy, Danguole Kureisaite-Ciziene, Yves V. Brun, Phillip J. Stansfeld, Carol V. Robinson, and Tanmay A.M. Bharat Cell pii: S0092-8674(19)31332-7. doi: 10.1016/j.cell.2019.12.006. A further publication is being finalised for submission. |
Start Year | 2018 |
Description | Collaboration with Trinity College Dublin |
Organisation | Trinity College Dublin |
Department | School of Biochemistry and Immunology |
Country | Ireland |
Sector | Academic/University |
PI Contribution | Collaboration to study lipoprotein maturation and transport. We provide the molecular simulation and computational data to add value to our collaborators' structures. |
Collaborator Contribution | Our collaborators provide the molecular structures and experimental data. |
Impact | Publications, seminars and contribution to an international website resource. |
Start Year | 2013 |
Description | Collaboration with University of Bristol |
Organisation | University of Bristol |
Department | School of Biochemistry Bristol |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Collaboration with Prof Ian Collinson and development of a collaborative award. |
Collaborator Contribution | Initial contact and development of research ideas |
Impact | Wellcome Trust collaborative award passed the triage stage and is now submitted as a full proposal. |
Start Year | 2020 |
Description | Collaboration with University of Columbia |
Organisation | Columbia University |
Country | United States |
Sector | Academic/University |
PI Contribution | Computational simulations and modelling to understand key biosynthetic pathways within the bacterial cell envelope. |
Collaborator Contribution | Molecular structures of key biosynthetic enzymes. |
Impact | Papers in progress. 1 paper ready for submission in Mar 2021. |
Start Year | 2020 |
Description | Collaboration with Utrecht University |
Organisation | Utrecht University |
Country | Netherlands |
Sector | Academic/University |
PI Contribution | An understanding of how GAPR-1 binds to membranes and induces amyloid formation, using molecular simulation. |
Collaborator Contribution | Experimental analysis associated with GAPR-1 membrane interactions. |
Impact | Publication in progress. |
Start Year | 2021 |
Description | Lipoprotein Transport with University of Cambridge |
Organisation | University of Cambridge |
Department | Department of Pathology |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Collaboration to study lipoprotein maturation and transport. We provide the molecular simulation and computational data to add value to our collaborators' structures. |
Collaborator Contribution | Our collaborators provide the molecular structures and experimental data. |
Impact | Publications, seminars and contribution to an international website resource. |
Start Year | 2018 |
Description | University of Virginia |
Organisation | University of Virginia (UVa) |
Department | School of Medicine |
Country | United States |
Sector | Academic/University |
PI Contribution | Molecular simulations of molecular structures solved by the Zimmer research group. |
Collaborator Contribution | Provision of novel molecular protein structures. |
Impact | Understanding of the mechanisms of polysaccharide transport. |
Start Year | 2018 |
Title | CG2AT |
Description | A method to convert a coarse-grained biological system to atomistic resolution. |
Type Of Technology | Software |
Year Produced | 2010 |
Impact | Many publications, citations and collaborations. |
Title | CG2AT2 |
Description | An enhance version of our method to convert a coarse-grained system to atomic detail. https://github.com/pstansfeld/cg2at |
Type Of Technology | Software |
Year Produced | 2021 |
Open Source License? | Yes |
Impact | Becoming widely used within our research group and those that that are linked to our work. Aims to publish in the near future and induce world-wide usage. |
Title | Free Energy calculation methods for Lipid-Protein Interactions |
Description | We have developed new tools for studying lipid-protein interactions. https://github.com/owenvickery/metadynamics_analysis https://github.com/owenvickery/umbrella_sampling |
Type Of Technology | New/Improved Technique/Technology |
Year Produced | 2019 |
Impact | For further details see: Insights into Membrane Protein-Lipid Interactions from Free Energy Calculations. Corey RA, Vickery ON, Sansom MSP, Stansfeld PJ. J Chem Theory Comput. 2019 Oct 8;15(10):5727-5736. doi: 10.1021/acs.jctc.9b00548. |
URL | https://github.com/owenvickery/metadynamics_analysis |
Title | Lipoprotein Modification Tool |
Description | We have developed a method to automatically modify lipoprotein cysteine residues. |
Type Of Technology | Software |
Year Produced | 2020 |
Impact | This forms part of this paper: Characterising Membrane Association and Periplasmic Transfer of Bacterial Lipoproteins through Molecular Dynamics Simulations Shanlin Rao, George Bates, Callum Matthews, Owen Vickery, Phillip J. Stansfeld Structure The tool is here: https://github.com/owenvickery/add_acyl_tails_martini_2.2 |
URL | https://www.sciencedirect.com/science/article/pii/S0969212620300125 |
Title | MemProtMD |
Description | Tool to insert membrane proteins into lipid membranes |
Type Of Technology | Webtool/Application |
Year Produced | 2015 |
Impact | Many successful partnerships. |
URL | http://sbcb.bioch.ox.ac.uk/memprotmd |
Title | MemProtMD methods for membrane self-assembly and insertion |
Description | A methodology for inserting a membrane protein into a lipid bilayer using Google Colab Notebooks. |
Type Of Technology | Webtool/Application |
Year Produced | 2022 |
Open Source License? | Yes |
Impact | Regular usage within the research group and university teaching. |