Helping scientists design
safer compounds

AsedaSciences cloud-based, AI driven platform enables scientists to rapidly visualize and explore the relationship between chemical structure and its biological effect to design safer compounds with higher fidelity.

Trusted by 18,000+ teams around the globe

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A new approach to
safer chemical design

We combine machine learning (ML), high content cellular screens and cloud computing to predict human and environmental safety risk, without the use of animals.

1. Screen

Proprietary high-content cellular screens and algorithms create a biological fingerprint of a compounds toxic effects

2. Analyse

Our proprietary ML algorithms then compare fingerprints between new and historical compounds to predict safety risk

3. Visualize

Elegant network visualization allows closest neighbor comparisons to thousands of on-market and withdrawn compounds

4. Prioritize

Fingerprint similarity to known human toxins allows the selection, prioritization and progression of safer compounds

5. Organize

Upload, store and organize all of your compound structures and associated biological data in a single, secure location

6. Democratize

Democratize your data - every data point, for every compound, readily available to everyone across an organization

Using the past to predict the future

We generated standardized biological fingerprints for hundreds of past and present compounds with known human safety profiles. These are used to train our machine learning classifiers to predict safety risk for new compounds. Based on fingerprint similarity, accurate safety predictions can be made earlier in R&D to help select, prioritize and progress safer compounds for the future.

Highly reproducible, human cell based phenotypic screens
Compare to over 3,000 fingerprints from historical compounds
Explore nearest neighbor associations in our Compound Universe

Digitally transforming chemical safety predictions

Our proprietary algorithms digitally transform complex, high parameter biological data into fingerprints defining the toxic effect of a compound on human cellular systems. This digital transformation creates fingerprints used by our machine learning approach to accelerate chemical safety predictions.

High quality cell screens enable accurate ML predictions
State-of-the-art, cloud-based analysis and visualization
Results are stored, organized and visualized within 3RnD

A new approach to rational drug design

Providing an AI enabled drug discovery platform to support safer compound design, guide SAR and improve the selection of the right compound profile

Use at Hit-to-Lead and early lead optimization
Assess impact of compound design on the Therapeutic Index
Improve selection of safer scaffolds and SAR modifications
Provide rolling, visual predictions of safety risk across series

Supporting efforts to reduce animal testing

Earlier identification of toxicity risk using our combination of human cell screens and machine learning supports industry efforts to replace, refine and reduce animal use (3Rs). When implemented early, we can help R&D teams identify harmful compounds that can be modified or removed from the pipeline. This prevents exposing animals to potentially toxic compounds, minimizing harm and supporting the refinement and reduction of animals tested.

Safer chemical design for a more sustainable future

Building a sustainable world requires the use of safer chemicals. AsedaSciences is committed to supporting the UN Sustainable Development Goals by using our platform to standardize and consolidate high quality information on the biological effect of chemicals to improve risk assessment and green chemistry initiatives.

Providing standardized scientific information for risk assessment
3RnD - an information hub to support chemical prioritization
Data consolidation to support chemical risk assessment efforts
Help green chemistry to improve human and enviromental health