Drug Engineering
Skills:
LLMOps60%
Key Takeaways
Explains how to engineer a novel drug using machine learning
Original Description
You can engineer a novel drug on your laptop today using Machine Learning thanks to an open-source contribution by a company called Insilico Medicine based in Hong Kong. I spent some time reading their paper, playing with their model, and learning about the history of drug discovery. I can very confidently say that we are about to enter into a new era of personalized, low-cost medicine. And this new era will not just be about treating diseases, it'll be about finding actual cures using primarily cell and gene therapies. I am actively working on figuring out how i can best contribute here, I want to join in on the fun :) In this episode i'm going to explain everything i've learned about this field and by the end I want you to start generating molecules on your machine. Enjoy!
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WEBSITE: https://bit.ly/2OoVPQF
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Insilico Medicine's code :
https://github.com/insilicomedicine/GENTRL
My presentation (images curated from across the Web):
https://colab.research.google.com/drive/1f5Y4njMK4VGAMU68LdxtdI8lA-anayPt
Subscribe for more educational videos!
Are you a total beginner to machine learning? Watch this:
https://www.youtube.com/watch?v=Cr6VqTRO1v0
Learn Python:
https://www.youtube.com/watch?v=T5pRlIbr6gg
Startups in Drug Discovery:
https://blog.benchsci.com/startups-using-artificial-intelligence-in-drug-discovery
Autoencoders:
https://www.youtube.com/watch?v=H1AllrJ-_30
Variational Autoencoders:
https://www.youtube.com/watch?v=9zKuYvjFFS8
Deep Reinforcement Learning:
https://www.youtube.com/watch?v=79pmNdyxEGo
Reinforcement Learning:
https://www.youtube.com/watch?v=aCEvtRtNO-M
Drug Discovery:
https://www.youtube.com/watch?v=hY9Bc3mtphs
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Credits:
Insilico Medicine
Wiseod
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