Drug Engineering @SirajRaval
Drug Engineering  @SirajRaval
Uploaded January 2020 | Updated September 2026, 1 week ago
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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Insilico Medicine's code :
github.com/insilicomedicine/GENTRL

My presentation (images curated from across the Web):
colab.research.google.com/drive/1f5Y4njMK4VGAMU68LdxtdI8lA-anayPt

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Are you a total beginner to machine learning? Watch this:
youtube.com/watch?v=Cr6VqTRO1v0

Learn Python:
youtube.com/watch?v=T5pRlIbr6gg

Startups in Drug Discovery:
blog.benchsci.com/startups-using-artificial-intelligence-in-drug-discovery

Autoencoders:
youtube.com/watch?v=H1AllrJ-_30

Variational Autoencoders:
youtube.com/watch?v=9zKuYvjFFS8

Deep Reinforcement Learning:
youtube.com/watch?v=79pmNdyxEGo

Reinforcement Learning:
youtube.com/watch?v=aCEvtRtNO-M

Drug Discovery:
youtube.com/watch?v=hY9Bc3mtphs

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Credits:
Insilico Medicine
Wiseodd
RubiksCode

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Siraj Raval |

Drug Engineering

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