Delighted to announce the opening of my lab at KAIST in Daejeon. My lab will focus on intellectual disability proteins and their impact on brain computations.
I'm hiring!
For more details, visit https://t.co/N4jPd0Zc7L.
Please RT! Recommendations are welcomed.
Now published in PNAS! Congrats to my amazing colleagues Julia and Blaise & postdoctoral mentor Rick! https://t.co/Vqgd0tfWbw
Here we've dissociated enzymatic vs structural roles of SYNGAP1 in excitability and seizures. This will inform treatment development for this NDD!
Excited to share our new preprint on #SYNGAP1 that shows how its enzymatic and structural role can be dissociated! The GAP activity is essential in increasing intrinsic excitability but does not contribute to the seizure protection SynGAP is important for. https://t.co/GtXg71P8oW
Congrats to my dear colleagues Julia Brill, Blaise Clarke, and Rick Huganir! And thanks to the many people who helped with this research. Lastly, thanks to @cureSYNGAP1 and all Syngapian families who inspired our science.
We're thrilled to present ESM3 in @ScienceMagazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API for biological intelligence.
Trained with over a trillion teraflops of compute, this is the first time a model of this scale has been trained for biology, pushing the frontier of AI for biological discovery and engineering.
ESM3 learns to represent the immense complexity of protein biology, learning from billions of natural proteins. From this training it developed the capability to design proteins, responding to complex prompts combining atomic level details and high level instructions to generate new proteins.
ESM3 can explore protein space far beyond natural evolution. We prompted ESM3 to generate a fluorescent protein at a far distance from any known fluorescent proteins, searching an unknown region of protein space, to discover a new fluorescent protein.
We estimate this is equivalent to simulating five hundred million years of evolution.
Our paper on MouseGoggles - an open-source mini VR headset for mice - just came out! Really excited about finally integrating eye-tracking into the headset. Nice working with you @hongyu_chang!
https://t.co/ok9iR01pnl
https://t.co/zicNX2JEed
Amazing work by @Han_L_Tan! These BNC2 neurons shut down hunger before you can pronounce semaglut-. Lots of implications for understanding and treating obesity 🧠🍽️ #Neuroscience#ObesityResearch#Leptin
Thrilled to share our paper online @Nature (on my birthday)! We've identified a new population of LepR neurons (BNC2) in the hypothalamus ARC that acutely suppresses appetite by directly inhibiting AGRP neurons, decoding the missing LepR GABAergic neurons. https://t.co/80m4atIKxa
Brain Molecule Makes Neurons Less Selective Deepening Understanding of Human Cognition—Findings from Johns Hopkins Medicine may help scientists better understand causes of autism, schizophrenia and epilepsy.
“We've discovered that the calcium permeable subtype of AMPA receptors has an added role of suppressing the selectivity of a given neuron,” says Ingie Hong, Ph.D., first author and an instructor in neuroscience at the Johns Hopkins University Medicine. “Until now, the role of these specific receptors in the wider mammalian brain as it functions in everyday life has been a mystery.”
Full article: https://t.co/VgaJuFIkKz
@susanmagsamen kicking off #sfn24 on the power of #NeuroArts, mixing in some tips on dating and @rhuganir 's back-of-the-napkin explanation of first kiss neuroscience
Why are some neurons more selective than others? We report now in @Nature how calcium permeable-AMPA receptors in PV neurons make them less selective to sensory features https://t.co/Y7sXbtE8I3 Long live the geniuses behind this🧠🔍https://t.co/87BqmXxYje @thainmueller @rhuganir