Overview
Analytics & Modeling - Digital Twin / Simulation Networks & Connectivity - Cellular | |
Healthcare & Hospitals Pharmaceuticals | |
Digital Twin Virtual Reality | |
Cloud Planning, Design & Implementation Services System Integration | |
Operational Impact
The use of Google Cloud Platform has enabled Alacris to rapidly refine and improve their modeling system. The results of the simulations are now being used to calculate the inhibition of cell growth, which will be compared to pharmacological profiles available from Cancer Cell Line Encyclopedia (CCLE). This will potentially facilitate the identification of cancer-related signal transduction pathways that are not yet covered in the model, and also further the understanding of the functional consequences of mutations at both the molecular pathway and cellular level. Moreover, Alacris will gain insight into drug action at the molecular level and analyze cross-talk and potential redundancies between pathways. This information will be used to expand and modify the ModCell™ system, integrating the identified cancer-related signaling pathways and mutations, and additional drug information, such as drug uptake dynamics and drug metabolism. | |
Quantitative Benefit
Simulated the effects of about 100 molecular targeted anti-cancer as well as non anti-cancer drugs/compounds on more than 700 different cancer cell lines. | |
Generated more than 5 million different models, each of which was expected to need up to one minute to be solved numerically and to produce about 500 kB of simulation data. | |
Handled a simulation time of more than 3,000 days, if run on a single core, and more than 2 TB of data using Google Cloud Platform. | |