Explore ANDROMEDA by Prosilico

Extensively validated human clinical ADME/PK prediction, simulation and optimization software with higher accuracy than laboratory methods.

 

Experience & progress

We are motivated by a strong and sincere willingness to drive continuous improvement and renewal within ADME/PK science. We believe that a technology shift and significant quality improvements are within reach. Together we form a group of highly merited scientists with a long experience from the pharmaceutical industry, university and IT-development.

ABOUT

ADME/PK-prediction software with predictive power

Our software ANDROMEDA by Prosilico produces high quality in silico estimates of human clinical ADME/PK of modern drug candidates (for which standard laboratory methods have limited applicability) at a low cost. Our approach is firmly based on the assumption that clinical data is the best and most relevant source of human ADME/PK information.

The software has been carefully validated in a multitude of ways. We have also performed successful benchmarking vs alternative methods (in vitro and animal models). Median prediction errors are generally within 2- to 3-fold. Scientific publications and White paper are available to support our claims.

Make you feel good about it

You can rely on the fact that the human clinical ADME/PK parameters you get are the result of validated and relevant methods. The predictive power increases the likelihood that your compounds will have the desired ADME/PK properties in man and that clinical studies will be safe and planned for success. As a bonus you will also help to avoid unnecessary experiments in animals and reduce environmental emissions.

The latest news and publications

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Performance & market positioning

The predictive performance and compound coverage of our prediction platform/software ANDROMEDA in comparison to competitors…
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Partnership with OneAngstrom

https://www.linkedin.com/posts/urban-fagerholm-b58784a_prosilico-andromeda-oneangstrom-activity-7325507926280835072-k1Iy?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAHk3XQBuT8kLjSurB6ONJYrCzd5HrK6oWc    
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Proud Award Winner

https://journals.sagepub.com/doi/10.1177/02611929241263184