Karl Krauth
@kkt.bsky.social
Postdoc at Stanford. Previously PhD student at Berkeley AI research. Trying to understand proteins with microfluidics and machine learning.
www.karlk.net
www.karlk.net
Reposted by Karl Krauth
I took biochem in 2001, and for nearly 20 years read amino acid sequences daily… and I never knew Dayhoff named them or even the logic behind things like Q until last Friday (h/t Mike Janech). Also, this is another big Dayhoff moment for me. She was incredible!
#proteomics #bioinformatics
#proteomics #bioinformatics
Dr. Margaret Oakley Dayhoff
biology.arizona.edu
November 24, 2024 at 12:39 PM
I took biochem in 2001, and for nearly 20 years read amino acid sequences daily… and I never knew Dayhoff named them or even the logic behind things like Q until last Friday (h/t Mike Janech). Also, this is another big Dayhoff moment for me. She was incredible!
#proteomics #bioinformatics
#proteomics #bioinformatics
Always so impressed by how good this intro to graph neural nets is. They did such a good job of broadly covering the field without diving into a million papers. I love that they build intuition for how designing GNN architectures is tricky, wish more ML posts did that.
A Gentle Introduction to Graph Neural Networks
What components are needed for building learning algorithms that leverage the structure and properties of graphs?
distill.pub
November 20, 2024 at 4:45 PM
Always so impressed by how good this intro to graph neural nets is. They did such a good job of broadly covering the field without diving into a million papers. I love that they build intuition for how designing GNN architectures is tricky, wish more ML posts did that.
Has a machine learning model ever successfully designed an enzyme that's 5x faster than the sequences in its training set?
Specifically looking for an experimentally verified example where the model is the decision maker rather than a human assistant.
Specifically looking for an experimentally verified example where the model is the decision maker rather than a human assistant.
November 19, 2024 at 7:06 PM
Has a machine learning model ever successfully designed an enzyme that's 5x faster than the sequences in its training set?
Specifically looking for an experimentally verified example where the model is the decision maker rather than a human assistant.
Specifically looking for an experimentally verified example where the model is the decision maker rather than a human assistant.