I have found this blog post extremely interesting, I simply LOVE IT!
I am someone that has read tens of thousands of papers on pubmed and I am generally extremely disappointed with substack and the internet in general.
I find myself completely information starved, blog posts very rarely teach me something in science because blogs actually extremely rarely talk about science and science papers.
Most are limited to surface level topics with no depth or to regurgitating the same talking points ad nauseam (e.g. the mental black holes of exercise and diet for longevity...)
So overall internet to me is a very lonely experience and it's breath of fresh air to find someone that actually teach me important and in depth scientific knowledge. If btw you have substack/authors to recommend to me I am all ears.
About the post:
I was wondering about how AlphaSeq DB compares in terms of protein protein interactions versus the most cited one: STRING
More generally we are seeing considerable advances in AI and metrological scalability in biotech and that is something you could write a lot about, I'll give you suggestions another time
I have found this blog post extremely interesting, I simply LOVE IT!
I am someone that has read tens of thousands of papers on pubmed and I am generally extremely disappointed with substack and the internet in general.
I find myself completely information starved, blog posts very rarely teach me something in science because blogs actually extremely rarely talk about science and science papers.
Most are limited to surface level topics with no depth or to regurgitating the same talking points ad nauseam (e.g. the mental black holes of exercise and diet for longevity...)
So overall internet to me is a very lonely experience and it's breath of fresh air to find someone that actually teach me important and in depth scientific knowledge. If btw you have substack/authors to recommend to me I am all ears.
About the post:
I was wondering about how AlphaSeq DB compares in terms of protein protein interactions versus the most cited one: STRING
https://pubmed.ncbi.nlm.nih.gov/36370105/
More generally we are seeing considerable advances in AI and metrological scalability in biotech and that is something you could write a lot about, I'll give you suggestions another time
It would be interesting to know how many of the comments you make in the introduction also apply to Alphafold3.