Discovery of anti-DENV antibodies using artificial intelligence
Dengue virus (DENV) is a viral pathogen of global health significance: in 390 million cases worldwide, 96 million exhibit clinical symptoms and result in 21,000 deaths. Currently, there are no therapeutic treatments against DENV.
DENV is composed of four similar but serologically different viruses, DENV 1-4. Cross-reactive, neutralising antibodies to all four DENV serotypes may provide an effective passive treatment against severe DENV disease and guide vaccine design. However, a large number of successful antibody candidates remain undiscovered due to the inaccessibility and complexity of the natural immune response: a theoretical repertoire of 10140 potential antibodies.
By applying network analysis and machine learning, large amounts of raw high-throughput sequence data from antibody repertoires can be investigated, resulting in detection of rare, underrepresented antigen-specific clones. This platform has the potential to discover and develop new neutralising antibodies for therapeutic treatment of dengue infection and inform vaccine design.

Project details
- Type
- Research project
- Research areas
- aiHealthLab
- University
- FHNW School of Life Sciences / Institute for Medical Engineering and Medical Informatics
- Funding
- UK Wellcome Trust Innovator’s Award
- Running time
- 2019-2022
Contact

Prof. Dr. Enkelejda Miho
- Phone
- +41 61 228 58 47
- enkelejda.miho@fhnw.ch
Further projects

EUREKA
- Institute
- Institute for Medical Engineering and Medical Informatics
- Research field
- aiHealthLab

Personalis
- Institute
- Institute for Medical Engineering and Medical Informatics
- Research field
- aiHealthLab

Real-world data and digital biomarkers
- Institute
- Institute for Medical Engineering and Medical Informatics
- Research field
- aiHealthLab

MEDICT
- Institute
- Institute for Medical Engineering and Medical Informatics
- Research field
- aiHealthLab