I was testing DeepSeek's knowledge and it was interesting to see that it can hallucinate Chinese characters. However, it seems that using this Chinese character (完整=complete / intact) translated into English would provide a reasonable statement.
Clathrin is an Intrinsic Driver of Membrane Fission https://www.biorxiv.org/content/10.64898/2026.03.05.709932v1
Transforming macromolecular structures into simulations of self-assembly https://www.biorxiv.org/content/10.64898/2026.01.27.702082v1
A membrane-driven biochemical oscillator tunable by the volume to surface area ratio https://www.biorxiv.org/content/10.1101/2025.11.14.688573v1
Glad he's okay!
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
This means individuals in the following statuses at the time of application are eligible: Undergraduate in the final (senior) year of a bachelor’s degree program Bachelor’s degree-holder with NO enrollment in a graduate degree program (non-degree graduate coursework allowed) Individual enrolled in a joint bachelor’s-master’s degree program with at least three undergraduate years completed First-year graduate student in their first graduate degree program with less than one academic year completed in the degree program (according to institution’s academic calendar) Individuals enrolled in joint bachelor’s-master’s degree programs are considered graduate students. For GRFP, joint bachelor’s-master’s degrees are defined as degrees concurrently pursued and awarded. Not be a current NSF employee. Applications that do not meet eligibility requirements will be returned without review as being ineligible for a fellowship.
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.
wtaf...
Check out this cool manuscript I was a part of!
Evaluation of De Novo Deep Learning Models on the Protein-Sugar Interactome https://www.biorxiv.org/content/10.1101/2025.09.02.673778v1
Proteins can form dimers and bind DNA specifically and nonspecifically, exploiting 3D and 1D diffusion. This can drives both enhanced and impaired dwell time and target occupancy depending on spacing between specific targets.
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...
How will I ever learn statistical physics 😱???
