The World Health Organisation named antibiotic resistance as one of the greatest threats to global health, predicting the advent of infections not responding to antibiotics. The humanity needs to pioneer disruptive technologies to re-gain the upper hand. To do so, PEST-BIN mobilized 5 universities, 3 institutes, a hospital and 5 private companies. We will fight infections with very diverse tools: from nano-engineering, antibiotic production, via proteomics-based diagnostics to big data analysis using artificial intelligence (AI). PEST-BIN will train ESRs in an interdisciplinary and intersectoral environment in these impact areas:
1) Diagnostics: Current diagnostic tools fail to meet the clinical requirements for high speed, throughput, accuracy, cost and simplicity of use. PEST-BIN will develop infection diagnostic kits based on graphene, that will be functionalized by receptors capturing infection biomarkers. Our chips will contain only pure carbon and biodegradable polymers – zero environmental footprint. They will be used as “plug-and-play” disposable chips with a micro-SD jack.
2) Infection mechanisms: MS proteomics has been extensively used to analyse infectious bacteria, but our understanding of infection mechanisms has not advanced much. PEST-BIN is taking two new directions: i) generate proteomics datasets more relevant, comprehensive and time-resolved and ii) use novel computational tools (based on AI) to analyse proteomics datasets. This will lead to new drug targets for development of antibiotics.
3) Killing biofilms: Dense extracellular matrix prevents drugs from reaching bacteria inside biofilms. This limited exposure enhances development of antibiotic tolerance. PEST-BIN will engineer magnetic nanoparticles (directed by magnetic field), spiked with antibacterial graphene coating which will be loaded with antibiotics. Such molecular “nano-weapons” will physically penetrate biofilms and ensure sustained delivery of antibiotics inside biofilms.
Field of science
- /natural sciences/computer and information sciences/artificial intelligence
- /engineering and technology/nanotechnology/nano-materials/two-dimensional nanostructures/graphene
- /natural sciences/computer and information sciences/data science/big data
- /medical and health sciences/basic medicine/pharmacology and pharmacy/drug resistance/antibiotic resistance
- /natural sciences/biological sciences/biochemistry/biomolecules/proteins/proteomics
- /natural sciences/computer and information sciences/data science/data analysis
Call for proposal
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Funding SchemeMSCA-ITN-ETN - European Training Networks
20147 Saronno Va