Design principles of fusogenic proteins for lipid vesicles

Supervisor Prof. Robert Vácha, Ph.D.
Research Group Interaction Protein-Protein and Protein-Membrane

Cancer remains one of the leading causes of mortality worldwide, claiming nearly ten million lives each year. One promising treatment is cancer immunotherapy using mRNA encapsulated in lipid vesicles, which facilitate efficient drug transport into target cells. However, the delivery of mRNA into the cell remains a challenge due to limited endosomal escape. To overcome the endosomal escape barrier, this project aims to computationally design proteins that induce fusion between lipid vesicles and endosomes. Using mesoscopic simulations, we will identify the key structural features of proteins with a transmembrane domain that promote membrane fusion. These insights will inform the rational design of coiled-coil peptide sequences with said features and assess their capacity to induce membrane fusion using Martini coarse-grained simulations. This research will elucidate the molecular mechanism of protein-mediated membrane fusion, establishing a framework for the rational design of fusogenic proteins. The designed proteins will enable the development of lipid vesicles with increased endosomal escape efficiency, which has the potential to improve the intracellular delivery of mRNA. Collectively, these advances will contribute to the broader vision of developing clinically relevant platforms that expand the therapeutic potential of nucleic acid medicines and accelerate their translation into effective therapies.  

See list of topics
  1. 4D In-Vivo X-Ray MicroCT for Longitudinal Imaging of Coral Biomineralization and Skeletal Dynamics
  2. Additively Manufactured Sensors for Crop & Plant Health Monitoring
  3. Advanced Software for Batch Processing of Correlative Imaging with Quantitative Phase and Fluorescence
  4. Assembly and Maturation of Flaviviruses
  5. Cell Entry and Genome Delivery of Non-Enveloped Viruses
  6. Design Principles of Fusogenic Proteins for Lipid Vesicles
  7. Development of Advanced MRI Techniques for Functional Brain Mapping
  8. Development of Multimaterial 3D Printing Using the Digital Light Processing Method
  9. FAST-4D hiQPI: Fast, Accurate, Scalable, Time-Lapse 4D Holographic Incoherent-Light-Source Quantitative Phase Imaging
  10. Frascan II: Methods and Applications
  11. How Whole-Genome Triplication Shaped Desert Adaptation in Brassiceae
  12. Integrating Osteological and Biomolecular Evidence to Investigate Chromosomal Aneuploidies in Past Populations
  13. Laser- and Plasma-Assisted Dry Synthesis of Graphitic Micro-Patterns for Bioactive Cell Interfaces
  14. LIMA: LIBS Integrated Mineral Analyzer for Automated Mineralogy and Quantitative Elemental Prediction
  15. Lipid Nanoparticles in Drug Delivery
  16. Magneto-Structural Properties and Quantum Phenomena in Molecular Materials
  17. Method Development in Palaeoproteomics
  18. Molecular Magnetic Materials for Quantum Spin Control and Emerging Quantum Technologies
  19. Next-Generation Anticancer Therapies Based on Metallodrugs
  20. One Protein to Rule Them All: Decoding the Multifunctionality of Paramyxovirus Matrix Proteins
  21. Pushing the Frontiers of Magnetic Resonance Spectroscopy for Biotechnology and Materials Engineering
  22. Quantum Correlations in Free-Electron–Photon Interactions: Theoretical Foundations and Experimental Protocols
  23. Regulation of Drought Stress Memory and Resilience in Brassica napus Plants
  24. Retrogene Evolution in Brassicaceae: The Roles of Genomic Context and Polyploid History
  25. RNA-Associated Mechanisms in Polycomb-Mediated Epigenetic Silencing
  26. Single-Atom Catalysts for Sustainable Ammonia Production
  27. Structural Basis of Pathological Tau Recognition and Early Aggregation in Tauopathies
  28. Theoretical Investigation of Magnetic Molecules Supported on 2D Materials and Nanostructures Using Advanced Quantum-Chemical and Molecular-Modelling Methods
  29. Tracing Brain Disease Back to Developmental Decisions
  30. Translation Control
  31. Tunable and Robust Charge Injection Layers