abhishaike

8 ms·

91.
Why computational predictive toxicology is hard(owlposting.com)
24 points by abhishaike 2y ago|13 comments
92.
The unreasonable effectiveness of plasmid sequencing as a service(owlposting.com)
48 points by abhishaike 2y ago|20 comments
93.
The unreasonable effectiveness of plasmid sequencing as a service(owlposting.com)
2 points by abhishaike 2y ago|0 comments
94.
Models of Life(asimov.press)
1 points by abhishaike 2y ago|0 comments
95.
Models of Life(asimov.press)
2 points by abhishaike 2y ago|0 comments
96.
Fictional parasites different from our own(owlposting.com)
4 points by abhishaike 2y ago|0 comments
97.
Molecular dynamics data will be essential for the next generation of ML models(owlposting.com)
3 points by abhishaike 2y ago|0 comments
98.
Fictional parasites different from our own(owlposting.com)
3 points by abhishaike 2y ago|0 comments
99.
Generative ML in chemistry is bottlenecked by synthesis(owlposting.com)
4 points by abhishaike 2y ago|0 comments
100.
Fictional parasites different from our own(owlposting.com)
4 points by abhishaike 2y ago|0 comments
101.
by abhishaike 2y ago
Ah i wrote this! Thank you for posting it here :)
102.
Fictional parasites different from our own(owlposting.com)
2 points by abhishaike 2y ago|0 comments
103.
Molecular dynamics data will be essential for the next generation of ML models(owlposting.com)
2 points by abhishaike 2y ago|0 comments
104.
A primer on why microbiome research is hard(owlposting.com)
91 points by abhishaike 2y ago|26 comments
105.
Scaling Microbial Metagenomic Datasets(owlposting.com)
2 points by abhishaike 2y ago|0 comments
106.
Things I learned talking to the new breed of scientific institution(owlposting.com)
4 points by abhishaike 2y ago|0 comments
107.
Why do drugs work at all?(owlposting.com)
3 points by abhishaike 2y ago|0 comments
108.
by abhishaike 2y ago
A biology/machine-learning blog! https://www.owlposting.com/ Rediscovering an old love for writing that I thought had left me after highschool, now applied in the field I work in! Recommend starting your own blog if yo
109.
A primer on why computational predictive toxicology is hard(owlposting.com)
3 points by abhishaike 2y ago|0 comments
110.
A primer on ML in antibody engineering(owlposting.com)
2 points by abhishaike 2y ago|0 comments
111.
A primer on scRNA-seq foundation models(owlposting.com)
1 points by abhishaike 2y ago|0 comments
112.
by abhishaike 2y ago
this is super interesting, had no idea this was happening! i assumed things were tending towards cheaper given sequencing prices were dropping, why are things rising elsewhere?
113.
by abhishaike 2y ago
<3
114.
by abhishaike 2y ago
apologies will do better
115.
by abhishaike 2y ago
Sorry yeah, I muddled with the definitions a bit, this is focused on binding affinity data. Afaict, the primary source for such data is https://en.wikipedia.org/wiki/PDBbind_database , which is quite small
116.
by abhishaike 2y ago
There are many companies in the 'which proteins are in my sample' space (Olink, SomaLogic, etc), I actually dont know any others in the 'what proteins interact with other proteins' space
117.
by abhishaike 2y ago
I actually had no idea that the glycan problem extended beyond high mannose N-glycans! Informative comment, thank you
118.
Creating the largest protein-protein interaction dataset in the world(owlposting.com)
61 points by abhishaike 2y ago|11 comments
119.
Why do drugs work at all?(owlposting.com)
2 points by abhishaike 2y ago|0 comments
120.
by abhishaike 2y ago
I think this is the first time I've seen someone who isn't me post my article here :)

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