Sho Takeshita 竹下翔
@takeshita-sho.bsky.social
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A PhD student in Biophysics @JHU. Interested in proteins and deep learning.
reposted by
Sho Takeshita 竹下翔
bioRxiv Biophysics
14 days ago
Transforming macromolecular structures into simulations of self-assembly
https://www.biorxiv.org/content/10.64898/2026.01.27.702082v1
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reposted by
Sho Takeshita 竹下翔
bioRxiv Biophysics
3 months ago
A membrane-driven biochemical oscillator tunable by the volume to surface area ratio
https://www.biorxiv.org/content/10.1101/2025.11.14.688573v1
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Sho Takeshita 竹下翔
Sam Foley
5 months ago
This is a rather unfortunate change that seems to have come as a surprise to just about everyone. FYI for students and PIs who were looking to apply for the NSF GRFP
add a skeleton here at some point
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reposted by
Sho Takeshita 竹下翔
Erica D. Pratt
5 months ago
Announcing such a major change to NSF GRFP this late in the cycle is incredibly cruel. 2nd yr students (mine included) have been working so hard on their proposals despite ongoing uncertainty. They are driven and passionate about being outstanding scientists and helping those coming up behind them.
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Check out this cool manuscript I was a part of!
add a skeleton here at some point
5 months ago
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reposted by
Sho Takeshita 竹下翔
bioRxiv Biophysics
5 months ago
Evaluation of De Novo Deep Learning Models on the Protein-Sugar Interactome
https://www.biorxiv.org/content/10.1101/2025.09.02.673778v1
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Sho Takeshita 竹下翔
Margaret Johnson
7 months ago
Does protein dimerization always help targeting and dwell time on DNA? Not for a population! Dwell time is especially sensitive to spacing between DNA targets. Nonspecific binding and facilitated (1D) diffusion also play a key role. Super proud of Mankun Sang’s work!
doi.org/10.1101/2025...
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