ImmuneWatch DESIGN
Use machine learning to find epitopes or antigens for your vaccine.
Looking for potent antigens and epitopes to design your vaccine?
Many vaccines have been developed through a trial and error approach, with a large pool of candidates tested in vitro to screen for the most effective ones. This approach can be time-consuming, costly, and not always lead to the most effective vaccines.
Machine learning can address these problems and provide a number of other benefits complementary to traditional vaccine development methods.
Together with ImmuneWatch we were able to assess vaccine-induced T-cell signatures in our unique longitudinal sample collection of cancer patients. Based on antibody titers, it has previously been shown that cancer patients induce a weaker response towards COVID19 vaccines. T-cell immunity in this context is far less characterized and understood. Thanks to the ImmuneWatch DETECT platform we were able to take a deep dive into the SARS-CoV-2-specific T-cell response of our cancer patient cohort.
ImmuneWatch assisted us in analysing reactive T-cells through TCR sequencing and data anaysis in an oncology setting. Together, we identified potential TCR candidates for further in vitro validation. This collaboration provided us with insights into T-cell reactivity and the immune profile of our stimulation experiments, advancing our understanding and guiding future research.
The DESIGN analysis performed by ImmuneWatch is very informative and useful for making decisions on our different candidate antigens. Thank you for this nice work!
ImmuneWatch DETECT wins Machine Learning competition
We are excited to share our recent win in the IMMREP23 Kaggle competition focused on TCR (T-cell receptor) specificity prediction.
Read the articleWhitepapers
Exploring the Efficiency of Reverse Vaccinology
With the impending threats of antibiotic- resistant bacterial infections and future pandemics, implementing a fast and scalable vaccine development process is more urgent than ever. Reverse vaccinology is a computational vaccine-target identification method with stark benefits over traditional vaccine development. With a highly efficient pipeline, this bioinformatic technique allows for faster, safer, and cheaper vaccine development. Find out more about reverse vaccinology in this white paper.
Our offering
Find the epitope-specificity of your TCRs today
ImmuneWatch DETECT
Best-in-class TCR-epitope prediction algorithm
Support through a community forum
Deployment through Docker
Run on 1 device
Unlimited number of samples
ImmuneWatch DETECT Premium
academic researchers, students and non-profit institutes
Best-in-class TCR-epitope prediction algorithm
Access to IMWdb for improved accuracy of annotations
Explainability of TCR-epitope predictions
Email support within 5 business days
Installation support
Deployment through Docker, Podman or Singularity
Run on 1 device
Unlimited number of samples
ImmuneWatch DETECT Premium
Best-in-class TCR-epitope prediction algorithm
Access to IMWdb for improved accuracy of annotations
Explainability of TCR-epitope predictions
Email support within 3 business days
Deployment through Docker, Podman or Singularity
Installation support
Run on 5 devices
6h of immunoinformatic consulting/year included
ImmuneWatch DETECT Service
In-depth data analysis by immunoinformatic experts
Detect pathogen-, vaccine-, therapy-specific TCRs with our best-in-class TCR-epitope prediction algorithm
Possibility to generate data for your epitopes of interest
Our offering
Make your vaccine design process more data-driven by implementing machine learning and approaches from reverse vaccinology.