Recommendable! Fascinating! AI assisted drug discovery!
How Facebook became Drugbook?
Mr. Zuckerburg is fast becoming a pharmacist? 😄
"... Today, Facebook AI and the Helmholtz Zentrum München are introducing a new method that will help accelerate discovery of effective new drug combinations. We’ve built the first single AI model that predicts the effects of drug combinations, dosages, timing and even other types of interventions, such as gene knockout or deletion. We’re open-sourcing this model, called Compositional Perturbation Autoencoder (CPA), including an easy-to-use API and Python package. We have detailed the work in a paper now available to the research community as a preprint on bioRxiv. The work will also be submitted to a peer-reviewed journal. ...
CPA uses a novel self-supervision technique to observe cells treated with a finite number of drug combinations and predicts the effect of unseen combinations. ..."
CPA uses a novel self-supervision technique to observe cells treated with a finite number of drug combinations and predicts the effect of unseen combinations. ..."
"... CPA encodes and learns transcriptional drug response across different cell types, doses, and drug combinations. The model produces easy-to-interpret embeddings for drugs and cell types, allowing drug similarity analysis and predictions for unseen dosages and drug combinations. We show CPA accurately models single-cell perturbations across compounds, dosages, species, and time. ..."
This appears to be the underlying research paper:
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