#seemyscience — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #seemyscience, aggregated by home.social.
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People of the Fediverse! I have accomplished science. Allow me to elaborate...
"Discovery of a sulfotyrosine-motif in the human TrkB extracellular domain
required for agonist activation"https://www.biorxiv.org/content/10.64898/2026.05.19.725324v1
#Science #Neurobiology #StructuralBiology #Biochemistry #Pharmacology #SeeMyScience #OpenScience
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People of the Fediverse! I have accomplished science. Allow me to elaborate...
"Discovery of a sulfotyrosine-motif in the human TrkB extracellular domain
required for agonist activation"https://www.biorxiv.org/content/10.64898/2026.05.19.725324v1
#Science #Neurobiology #StructuralBiology #Biochemistry #Pharmacology #SeeMyScience #OpenScience
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People of the Fediverse! I have accomplished science. Allow me to elaborate...
"Discovery of a sulfotyrosine-motif in the human TrkB extracellular domain
required for agonist activation"https://www.biorxiv.org/content/10.64898/2026.05.19.725324v1
#Science #Neurobiology #StructuralBiology #Biochemistry #Pharmacology #SeeMyScience #OpenScience
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People of the Fediverse! I have accomplished science. Allow me to elaborate...
"Discovery of a sulfotyrosine-motif in the human TrkB extracellular domain
required for agonist activation"https://www.biorxiv.org/content/10.64898/2026.05.19.725324v1
#Science #Neurobiology #StructuralBiology #Biochemistry #Pharmacology #SeeMyScience #OpenScience
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People of the Fediverse! I have accomplished science. Allow me to elaborate...
"Discovery of a sulfotyrosine-motif in the human TrkB extracellular domain
required for agonist activation"https://www.biorxiv.org/content/10.64898/2026.05.19.725324v1
#Science #Neurobiology #StructuralBiology #Biochemistry #Pharmacology #SeeMyScience #OpenScience
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First paper of 2026 out of the door :mastoblush:
Xylosyltransferase engineering to manipulate proteoglycans in mammalian cells | Nature Chemical Biology
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The training looks like it is starting to converge and should be near to completion.
Each epoch is about 100 minutes. I couldn't get nnU-net to use metal with pytorch on my mac so it's going really slow. Plus, the data I am using for training is big.