Taking a computational approach to Life Sciences research and Biotechnology speeds up time to discovery, optimises costs, and increases success rates.
YellowDog helps you maximise these benefits.
We worked with AMD and Google Cloud to produce this free guide to computational life sciences in the cloud.
The guide covers how to bring speed, scale and cost reduction into your cloud computing.
OMass Therapeutics, a biotechnology company, achieved a 56.9% cost saving when it ran a large part of its drug discovery research pipeline – involving virtual screening of 337 million compounds – with YellowDog.
The 337 million compounds were analysed on 4,000 low-cost spot compute instances, taking a total of 7 hours. Using OMass’s existing setup, the same number of analyses would have taken a whole year.
Simulate biological systems to predict reactions and identify intervention.
Predict protein structure and function in the discovery of new drugs.
Analyse genetic datasets to identify potential causes of diseases and develop treatments.
Study the interaction between drugs and biological systems to predict efficacy and toxicity.
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